Fingerprint SDK
Fingerprint identification for stand-alone or Web solutions
VeriFinger is a fingerprint identification technology designed for biometric systems developers and integrators. The technology assures system performance with fast, reliable fingerprint matching in 1-to-1 and 1-to-many modes.
Available as a software development kit that allows development of stand-alone and Web-based solutions on Microsoft Windows, Linux, macOS, iOS and Android platforms.
Features and Capabilities
1500+ end-user product brands in 100+ countries used the VeriFinger
algorithm over the past 22 years.
Full NIST MINEX compliance, FpVTE and FVC awards since 2000.
Rolled and flat fingerprint matching that is tolerant to fingerprint
translation, rotation and deformation.
Compact fingerprint template and unlimited database size.
Available as multiplatform SDK that supports multiple scanners and
multiple programming languages.
FingerCell SDK for embedded platforms, like microcontrollers, optionally
available.
Reasonable prices, flexible licensing and free customer support.
In 1998 Neurotechnology developed VeriFinger, a fingerprint identification
technology designed for biometric system integrators.
Since that time, Neurotechnology has released more than 10 major and minor versions of the
VeriFinger, providing most powerful fingerprint recognition algorithms to date.
Numerous awards in competitions and technology evaluations, including FVC and FpVTE, have been
received by VeriFinger.
The VeriFinger algorithm is based on deep neural networks and follows the commonly
accepted
fingerprint identification scheme, which uses a set of specific fingerprint points (minutiae)
along with a number of proprietary algorithmic solutions that enhance system performance and
reliability. Some are listed below:
Rolled and flat fingerprints matching.
The VeriFinger algorithm matches flat-to-rolled, flat-to-flat or rolled-to-rolled
fingerprints with a high degree of reliability and accuracy, as it is tolerant to
fingerprint deformations.
Rolled fingerprints have much bigger deformation due to the specific scanning technique
(rolling from nail to nail) than those scanned using the "flat" technique.
Conventional "flat" fingerprint identification algorithms usually perform matching between
flat and rolled fingerprints less reliably due to the mentioned deformations of rolled
fingerprints.
Tolerance to fingerprint translation, rotation and
deformation.
VeriFinger's proprietary fingerprint template matching algorithm is able to identify
fingerprints even if they are rotated, translated, deformed and have only 5 - 7 similar
minutiae (usually fingerprints of the same finger have 20 - 40 similar minutiae) and matches
up to 40,000 flat fingerprints per second.Also, the matching algorithm has a special mode for
the cases when some fingerprint records have incorrect resolution.
Identification capability.
VeriFinger functions can be used in 1-to-1 matching (verification), as well as
1-to-many mode (identification).
Image quality determination.
VeriFinger is able to ensure that only the best quality fingerprint template will be stored
into database by using fingerprint image quality determination during enrollment.
Spoof fingerprint detection.
A deep learning based scanned fingerprint image classification is used to separate
live/non-live fingerprints to detect finger presentation attack.
This feature covers spoofing attempts performed with ecoflex, wood glue, latex and gelatin
and is useful for fraud identification.
Adaptive image filtration.
This algorithm eliminates noises, ridge ruptures and stuck ridges for reliable minutiae
extraction – even from poor quality fingerprints – with a processing time of 0.6 seconds.
Features generalization mode.
This fingerprint enrollment mode generates the collection of generalized fingerprint
features from a set of fingerprints of the same finger.
Each fingerprint image is processed and features are extracted.
Then the features collection set is analyzed and combined into a single generalized features
collection, which is written to the database.
This way, the enrolled features are more reliable and the fingerprint recognition quality
considerably increases.
Compact fingerprint template.
VeriFinger allows to configure the number and size of fingerprint features in a fingerprint
template.
Combined with unlimited database size, this capability allows to optimize
target system size and performance.
Scanner-specific algorithm optimizations.
VeriFinger 12.1 includes algorithm modes that help to achieve better results for the
supported fingerprint scanners.
Technology Awards
VeriFinger fingerprint identification technology has received numerous awards in competitions
and technology evaluations since its release in 1998.
MINEX Evaluations by NIST
MINEX III evaluation was successfully passed in 2015.
In 2019 Neurotechnology's fingerprint template generator algorithm has been
ranked the first in the NIST MINEX interoperability category; the
fingerprint matching algorithm has also been ranked as the front-runner in terms of
interoperability and, when combined, the two have become the supreme
accuracy, high speed fingerprint recognition system.
MINEX Ongoing evaluation was successfully passed in 2014.
The second place in the Ongoing MINEX ranking for fingerprint matching
algorithms was achieved.
MegaMatcher technology was recognized by the NIST as fully MINEX compliant.
FVC-Ongoing Results
In 2020 MegaMatcher fingerprint recognition algorithm has shown the
top result at the FVC-onGoing evaluation.
The fingerprint extractor and matcher were ranked as the most accurate for
both FV-STD-1.0 and FV-HARD-1.0 benchmarks.
PFT II AND PFT III (PROPRIETARY FINGERPRINT TEMPLATE) EVALUATIONS
Different versions of Neurotechnology's fingerprint recognition algorithm were submitted to the
NIST Proprietary Fingerprint Template Evaluation. The algorithm's template matching accuracy was
among the best participants at the previous PFT II evaluation. Our latest submissions to the PFT II
and the ongoing PFT III are in average the most accurate algorithms in all the experiments.
FpVTE (Fingerprint Vendor Technology Evaluations) by NIST
FpVTE 2012 – in 2015 NIST recognized Neurotechnology's fingerprint
identification algorithm as one of the fastest and most accurate among the
evaluation's participants.
FpVTE 2003 – one of the best reliability results in the Middle Scale Test
were shown. Neurotechnology participated in FpVTE 2003 under the name
Neurotechnologija.
WSQ 3.1 Certification by the FBI
In 2011 FBI certified Neurotechnology's implementation of
WSQ image format support.
FVC2006, FVC2004, FVC2002 AND FVC2000 RESULTS
Neurotechnology participated in the Fingerprint Verification Competition several times and
won numerous medals for reliability and performance.
SDK Contents
VeriFinger SDK is based on VeriFinger fingerprint recognition technology and is intended for biometric systems developers and integrators. The SDK allows rapid development of biometric applications using functionality from the VeriFinger algorithm for Microsoft Windows, Linux, macOS, iOS and Android. VeriFinger can be easily integrated into the customer's security system. The integrator has complete control over SDK data input and output.
VeriFinger SDK includes the Device Manager library for working with the supported fingerprint readers. Integrators can also write plug-ins to support their fingerprint readers or other devices using the plug-in framework provided with the Device Manager.
The following VeriFinger 12.1 SDKs are available:
VeriFinger 12.1 Standard SDK is designed for PC-based, embedded and mobile
biometric application development.
It includes Fingerprint Matcher and Extractor component licenses, programming samples and
tutorials, fingerprint scanner support modules and software documentation.
The SDK allows the development of biometric applications for Microsoft Windows, Linux,
macOS, iOS and Android operating systems.
VeriFinger 12.1 Extended SDK is designed for biometric
Web-based and network application development.
It contains all features and components of the Standard SDK.
Additionally, the SDK includes Fingerprint Client component licenses for PCs and mobile
devices, sample client applications, tutorials and a ready-to-use matching
server component.
License Activation Options
The components are copy-protected. The following license activation options are available:
Serial numbers are used to activate licenses for particular VeriFinger components on particular computer or device. The activation is done via the Internet or by email. After activation the network connection is not required for single computer license usage.
Notes:
- Activation by serial number is not suitable for ARM-Linux, except BeagleBone Black and Raspberry Pi 3 devices.
- Activation by serial number is not suitable for virtual environments.
Internet activation . A special license file is stored on a computer or a mobile/embedded device; the license file allows to run
particular VeriFinger components on that computer or device after checking the license over the Internet. Internet connection x
should be available periodically for a short amount of time.
A single computer license can be transferred to another computer or device by moving the license
file there and waiting until the previous activation expires.
Volume License Manager. Licenses may be stored in a volume license manager dongle . The license activation may
be performed without connection to the Internet and is suitable for virtual environments. Volume
license manager is used on site by integrators or end users to manage licenses for VeriFinger
components in the following ways:
- Activating single computer licenses – An installation license for a VeriFinger component will be activated for use on a particular computer. The number of available licenses in the license manager will be decreased by the number of activated licenses.
- Managing single computer licenses via a LAN or the Internet – The license manager allows the management of installation licenses for VeriFinger components across multiple computers or mobile/embedded devices in a LAN or over the Internet. The number of managed licenses is limited by the number of licenses in the license manager. No license activation is required and the license quantity is not decreased. Once issued, the license is assigned to a specific computer or device on the network.
- Using license manager as a dongle – A volume license manager containing at least one license for a VeriFinger component may be used as a dongle, allowing the VeriFinger component to run on the particular computer where the dongle is attached.
Additional VeriFinger component licenses for the license manager may be purchased at any time.
Licenses Validity
All SDK and component licenses are perpetual and do not have expiration. There are no annual fee or any other fees except license purchasing fee. It is possible to move licenses from one computer or device to another. Neurotechnology provides a way to renew the license if the computer undergoes changes due to technical maintenance.
SDK Components
The table below lists the biometric components which are included in VeriFinger 12.1 Standard SDK and VeriFinger 12.1 Extended SDK. The list can be narrowed with filtering by certain requirements based on the target biometric system. See the licensing model for more information on specific license types.
Select the required biometric components:
| VeriFinger SDK components and licenses | ||
|---|---|---|
| Component types | VeriFinger 12.1 Standard SDK |
VeriFinger 12.1 Extended SDK |
| Fingerprint component licenses included with a specific SDK: | ||
| Fingerprint Extractor | 1 single computer license | 1 single computer license |
| Fingerprint Matcher | 1 single computer license | 1 single computer license |
| Fingerprint Client | 3 single computer licenses | |
| Mobile Fingerprint Extractor | 1 single computer license | 1 single computer license |
| Mobile Fingerprint Matcher | 1 single computer license | 1 single computer license |
| Mobile Fingerprint Client | 3 single computer licenses | |
| Matching Server | + | |
Samples and Tutorials
VeriFinger 12.1 SDK includes programming samples and tutorials that show how to use the components of the SDK to perform fingerprint template extraction or matching against other templates. The samples and tutorials are available for these programming languages and platforms:
| Windows 32 & 64 bit |
Linux 32 & 64 bit |
macOS | Android | iOS | |
|---|---|---|---|---|---|
| Programming samples | |||||
| C/C++ | + | + | + | ||
| Objective-C | + | ||||
| C# | + | ||||
| Visual Basic .NET | + | ||||
| Java | + | + | + | + | |
| Programming tutorials | |||||
| C | + | + | + | ||
| C++ | + | + | + | ||
| C# | + | ||||
| Visual Basic .NET | + | ||||
| Java | + | + | + | + | |
Supported Scanners
We are always looking for scanner manufacturers to include the support for their fingerprint scanners to our products. Please, contact us for more details.
These fingerprint scanners and sensors are supported by our biometric products. Each device has 500 ppi resolution, unless a different resolution is mentioned in the Notes column. Please, click on a scanner name to view more information about it.
| Scanner | Sensor technology | Capture method | Image capture area | Image size (pixels) | Notes |
|---|---|---|---|---|---|
| 3M Cogent CSD 330 | Optical | Touch | 1" x 1" | 500 x 500 | FIPS 201 PIV certified. |
| Abilma UNITY | Optical | Roll or touch | 5.0" x 5.1" | Scans palm prints, up to 4 flat
fingerprints simultaneously or single rolled fingerprints; FBI IQS compliant (Appendix F of EFTS); Wi-Fi 802.11n connection. |
|
| ACS AET62 | Capacitive | Sweep | 0.38" x 0.01" | 192 x 4 | Embedded contactless smart card reader |
| ACS AET65 | Capacitive | Sweep | 0.38" x 0.01" | 192 x 4 | Embedded smart card reader |
| Aratek A400 | Capacitive | Touch | 0.5" x 0.7" | 256 x 360 | PIV and Appendix F Mobile ID FAP 10 certified. |
| Aratek A600 | Optical | Touch | 0.6" x 0.8 | 300 x 400 | PIV and Appendix F Mobile ID FAP 20 certified. |
| Aratek BM5510 | Optical | Touch | 0.6" x 0.9" | 320 x 480 | Wi-Fi 802.11 b/g/n connection. 3G connection. Bluetooth 4.0 connection. |
| Aratek BM7500 | Optical | Touch | 0.6" x 0.9" | 320 x 480 | Wi-Fi 802.11 b/g/n
connection. 3G connection. Bluetooth 4.0 connection. |
| Aratek FRO900 | Optical | Roll or touch | 3.2" x 3.0" | 1600 x 1500 | Appendix F compliant; Scans up to 4 flat fingerprints simultaneously. |
| ARH AFS 510 | Optical | Roll or touch | 4" x 3" | IAFIS IQS compliant. Scans up to 4 flat finger simultaneously. |
|
| Athena ASEDrive IIIe Combo Bio F2 | Capacitive | Touch | 0.4" x 0.6" | 208 x 288 | Embedded smart card reader |
| BioID BioSlap | Optical | Roll or touch | 3.2" x 3.0" | FBI Appendix F certified. IP54 rated casing. | |
| BioLink U-Match MatchBook v.3.5 | Optical | Touch | 0.6" x 0.9" | ||
| Biometrika Fx2000 | Optical | Touch | 0.5" x 1.0" | 296 x 560 | |
| Biometrika Fx2100 | Optical | Touch | 0.5" x 1.0" | PIV certified. | |
| Biometrika Fx3000 | Optical | Touch | 0.7" x 1.0" | 400 x 560 | |
| Biometrika HiScan | Optical | Touch | 1.0" x 1.0" | 500 x 500 | PIV / FIPS 201 certified |
| Biometrika HiScan PRO | Optical | Touch | 1.0" x 1.0" | PIV certified. | |
| Credence ID Credence One | Capacitive | Touch | 0.5" x 0.7" | 256 x 360 | Wi-Fi 802.11 a/b/g/n connection. Bluetooth 4.0 connection. Embedded smart card reader. |
| Credence ID CredenceTWO-R | LES | Touch | 0.8" x 1.0" | 400 x 500 | Wi-Fi 802.11 a/b/g/n
connection. Bluetooth 4.0 connection. 3G/4G/LTE connection. Embedded smart card reader. |
| Credence ID Trident | LES | Roll or touch | 1.6" x 1.5" | Scans single or dual flat fingerprints, or single rolled
fingerprints. Wi-Fi 802.11 a/b/g/n connection. Bluetooth 4.0 connection. Integrated dual iris scanner. |
|
| Cross Match Guardian 100 | Optical | Touch | 3.2" x 3.3" | FBI Appendix F certified; Scans up to 4 flat fingerprints simultaneously. |
|
| Cross Match Guardian 200 | Optical | Touch | 3.2" x 3.3" | FBI Appendix F certified; Scans up to 4 flat fingerprints simultaneously and Rolled fingerprints. |
|
| Cross Match Guardian 300 | Optical | Touch | 3.2" x 3.3" | FBI Appendix F certified; Scans up to 4 flat fingerprints simultaneously and Rolled fingerprints. |
|
| Cross Match Guardian FW | Optical | Roll or touch | 3.2" x 3.0" | FBI Appendix F certified; Scans flat ten-prints and single rolled fingerprints. FireWire connection. |
|
| Cross Match Guardian Module | Optical | Touch | 3.2" x 3.3" | FBI Appendix F certified; Scans up to 4 flat fingerprints simultaneously and Rolled fingerprints. |
|
| Cross Match Guardian USB | Optical | Roll or touch | 3.2" x 3.0" | FBI Appendix F certified; Scans flat ten-prints and single rolled fingerprints. |
|
| Cross Match Guardian-F USB | Optical | Touch | 3.2" x 3.0" | FBI Appendix F certified; Scans up to 4 flat fingerprints simultaneously. |
|
| Cross Match L Scan 500P | Optical | Roll or touch | 5.0" x 5.1" | 2496 x 2560 | Scans palm prints, up to 4 flat fingerprints simultaneously or
single rolled fingerprints; FBI IQS compliant (Appendix F of EFTS) |
| Cross Match Patrol | Optical | Roll or touch | 3.2" x 3.0" | FBI Appendix F certified; Scans rolled fingerprints; Scans up to 4 flat fingerprints simultaneously. |
|
| Cross Match Patrol ID | Optical | Touch | 3.2" x 3.0" | FBI Appendix F certified; Scans up to 4 flat fingerprints simultaneously. |
|
| Cross Match Verifier 300 Classic | Optical | Touch | 1.2" x 1.2" | ||
| Cross Match Verifier 300 LC | Optical | Touch | 1.2" x 1.2" | ||
| Cross Match Verifier 300 LC 2.0 | Optical | Touch | 1.2" x 1.2" | ||
| Cross Match Verifier 320 LC | Optical | Roll or touch | 1.6" x 1.5" | FBI IAFIS IQS and PIV certified; Scans 2 flat fingerprints simultaneously or 1 rolled. |
|
| DERMALOG F1 | Optical | Touch | 0.7"x1.0" | FIPS 201 PIV certified. | |
| DERMALOG LF10 | Optical | Roll or touch | 3.2" x 3.2" | FBI IQS Appendix F certified. Captures 4+4+2 flat fingerprints, and single rolled. |
|
| DERMALOG ZF1 | Optical | Touch | 0.6" x 0.9" | 320 x 480 | PIV / FIPS 201
certified; Includes live finger detection |
| DigitalPersona EikonTouch 710 | Capacitive | Touch | 0.5" x 0.7" | 256 x 360 | FIPS 201 certified |
| DigitalPersona U.are.U 4000 Module | Optical | Touch | 0.6" x 0.7" | ||
| DigitalPersona U.are.U 4000 scanner | Optical | Touch | 0.6" x 0.7" | ||
| DigitalPersona U.are.U 4500 scanner | Optical | Touch | 0.6" x 0.7" | ||
| DigitalPersona U.are.U 5100 Module | Optical | Touch | 0.5" x 0.6" | FIPS 201 PIV certified. | |
| DigitalPersona U.are.U 5100 Reader | Optical | Touch | 0.5" x 0.6" | FIPS 201 PIV certified. | |
| DigitalPersona U.are.U 5160 Reader | Optical | Touch | 0.5" x 0.6" | FIPS 201 PIV certified. | |
| DigitalPersona U.are.U 5200 Module | Optical | Touch | 0.6" x 0.8" | FIPS 201 PIV certified. | |
| DigitalPersona U.are.U 5300 Module | Optical | Touch | 0.8" x 1.0" | PIV and Appendix F Mobile ID FAP 30 certified. | |
| DigitalPersona U.are.U 5300 Reader | Optical | Touch | 0.8" x 1.0" | PIV and Appendix F Mobile ID FAP 30 certified. | |
| DigitalPersona (UPEK) Eikon Solo | Capacitive | Sweep | 1.0" x 0.3" | ||
| DigitalPersona (UPEK) EikonTouch 300 | Capacitive | Touch | 0.4" x 0.6" | 208 x 288 | |
| DigitalPersona (UPEK) EikonTouch 500 | Capacitive | Touch | 0.5" x 0.7" | 256 x 360 | |
| DigitalPersona (UPEK) EikonTouch 700 | Capacitive | Touch | 0.5" x 0.7" | 256 x 360 | FIPS 201 certified |
| Famoco FX100 Bio | Optical | Touch | 0.6" x 0.9" | Mobile stand-alone device. Wi-Fi, 3G and Bluetooth connections. Embedded contactless RFID card reader. | |
| Fujitsu MBF200 | Capacitive | Touch | 0.5" x 0.6" | 256 x 300 | |
| Fulcrum Biometrics mobileOne QuickDock | Optical | Touch | 0.5" x 0.7" | 256 x 360 | Wi-Fi 802.11 b/g/n connection. Apple Lightning connector. PIV / FIPS 201 compliant sensor. |
| Futronic eFAM (FS84) | Optical | Touch | 0.6" x 0.9" | 320 x 480 | Ethernet or serial connection. |
| Futronic FS10 | Optical | Touch | 1.0" x 1.0" | 500 x 500 | PIV / FIPS 201 certified |
| Futronic FS26 | Optical | Touch | 0.6" x 0.9" | 320 x 480 | Embedded MIFARE card reader/writer |
| Futronic FS26EU | Optical | Touch | 0.6" x 0.9" | 320 x 480 | PIV / FIPS 201 compliant. Embedded smart card reader (ISO7816 contact and ISO14443/Mifare contactless supported) |
| Futronic FS28 | Optical | Touch | 0.6" x 0.9" | 320 x 480 | Bluetooth connection |
| Futronic FS50 | Optical | Roll or touch | 1.6" x 1.5" | 800 x 750 | Two finger scanner. FBI IQS certified, FIPS 201 / PIV compliant. |
| Futronic FS60 | Optical | Roll or touch | 3.2" x 3.0" | 1600 x 1500 | Four finger scanner. FBI IQS IAFIS certified. |
| Futronic FS64 | Optical | Roll or touch | 3.2" x 3.0" | 1600 x 1500 | Scans up to 4 flat fingerprints simultaneously or single
rolled fingerprints; FBI IQS compliant (Appendix F of EFTS). |
| Futronic FS80 | Optical | Touch | 0.6" x 0.9" | 320 x 480 | Includes spoof detection |
| Futronic FS80H | Optical | Touch | 0.6" x 0.9" | 320 x 480 | Includes spoof detection |
| Futronic FS82 | Optical | Touch | 0.6" x 0.9" | 320 x 480 | Includes spoof
detection Embedded smart card reader |
| Futronic FS88 | Optical | Touch | 0.6" x 0.9" | 320 x 480 | PIV / FIPS 201 certified |
| Futronic FS88H | Optical | Touch | 0.6" x 0.9" | 320 x 480 | PIV / FIPS 201 certified |
| Futronic FS90 | Optical | Touch | 0.6" x 0.9" | 300 x 440 | |
| Green Bit DactyID20 | Optical | Touch | 0.7" x 0.8" | PIV-certified. | |
| Green Bit DactyScan40i | Optical | Roll or touch | 1.6" x 1.6" | FBI Appendix F and FIPS-201 / PIV certified. Scans dual flat fingerprints. |
|
| Green Bit DactyScan84c | Optical | Roll or touch | 3.2" x 3.0 | FBI IQS compliant; Scans up to 4 flat fingerprints simultaneously. |
|
| Green Bit DactyScan84n | Optical | Roll or touch | 3.2" x 3.0 | FBI IQS compliant; Scans up to 4 flat fingerprints simultaneously. |
|
| Green Bit MultiScan527 | Optical | Roll or touch | 5.0" x 5.0" | Scans palm prints, up to 4 flat
fingerprints simultaneously or single rolled fingerprints; FBI IQS compliant (Appendix F of EFTS). |
|
| HFSecurity HF-4000 | Optical | Touch | 0.8" x 1.3" | ||
| HFSecurity HF-7000 | Capacitive | Touch | 0.5" x 0.6" | 256 x 288 | |
| Hongda S500 | Optical | Touch | 0.6" x 0.8" | ||
| Hongda S680 | Optical | Roll or touch | 1.6" x 1.6" | ||
| Hongda S700 | Optical | Touch | 3.2" x 3.0 | 1600 x 1500 | Scans 4 flat fingerprints simultaneously. IAFIS IQS compliant |
| IDENTOS Tactivo Mini for Android Optical | Optical | Touch | 0.5" x 0.8" | 256 x 360 | Embedded smart card reader. IP54 rated casing. |
| iMD SF202 | Capacitive | Touch | 0.4" x 0.6" | 208 x 288 | |
| iMD SF302GM | Capacitive | Touch | 0.5" x 0.7" | 256 x 288 | |
| Integrated Biometrics Columbo | LES | Touch | 0.8" x 1.0" | 400 x 500 | PIV and Appendix F Mobile ID FAP 30 certified. |
| Integrated Biometrics Columbo OEM | LES | Touch | 0.8" x 1.0" | 400 x 500 | PIV and Appendix F Mobile ID FAP 30 certified. |
| Integrated Biometrics Curve | LES | Touch | 0.6" x 0.7" | 288 x 352 | Includes live finger detection |
| Integrated Biometrics Five-0 | LES | Touch | 3.2" x 2.0" | 1600 x 1000 | Scans up to 4 flat fingerprints simultaneously. Appendix F Mobile ID FAP 50 certified. |
| Integrated Biometrics Kojak | LES | Roll or touch | 3.2" x 3.0" | 1600 x 1500 | Scans up to 4 flat fingerprints simultaneously or single
rolled fingerprints; FBI IQS compliant (Appendix F of EFTS). |
| Integrated Biometrics LES650 | LES | Touch | 0.6" x 0.7" | Includes live finger detection | |
| Integrated Biometrics Sherlock | LES | Roll or touch | 1.6" x 1.5" | 800 x 750 | Two finger scanner. PIV and Appendix F Mobile ID FAP 45 certified. |
| Integrated Biometrics Watson | LES | Roll or touch | 1.6" x 1.5" | 800 x 750 | Two finger scanner. PIV and Appendix F Mobile ID FAP 45 certified. |
| Integrated Biometrics Watson Mini | LES | Roll or touch | 1.6" x 1.5" | 800 x 750 | Two finger scanner. PIV and Appendix F Mobile ID FAP 45 certified. |
| Jenetric LIVETOUCH QUATTRO | Optical | Roll or touch | 3.2" x 3.0" | FBI Appendix F certified; Scans up to 4 flat fingerprints simultaneously and Rolled fingerprints. |
|
| Koehlke KIAU-5110B3 | Optical | Touch | 0.5" x 0.6" | 240 x 288 | |
| L-1 DFR 2080 | Optical | Touch | 0.6" x 0.6" | 248 x 292 | |
| L-1 DFR 2090 | Optical | Touch | 0.8" x 1.0" | 425 x 484 | USB and RS-170 (analog) image output |
| L-1 DFR 2100 | Optical | Touch | 1" x 1" | 500 x 500 | PIV / FIPS 201 certified |
| L-1 DFR 2300 | Optical | Touch | 1.5" x 1.2 | ||
| Lumidigm M300 sensor | Optical | Touch | 0.6" x 0.7" | Includes live finger detection. | |
| Lumidigm M301 sensor | Optical | Touch | 0.6" x 0.7" | Includes live finger detection. | |
| Lumidigm M311 sensor | Optical | Touch | 0.6" x 0.7" | Includes live finger detection. | |
| Lumidigm M321 sensor | Optical | Touch | 0.6" x 0.7" | Includes live finger detection. | |
| Lumidigm V371 reader | Optical | Touch | 0.7" x 1.1" | Includes live finger detection. Embedded NFC reader. | |
| Lumidigm Venus V300 OEM module | Optical | Touch | 0.7" x 1.1" | Includes live finger detection. | |
| Lumidigm Venus V302 reader | Optical | Touch | 0.7" x 1.1" | Includes live finger detection. | |
| Miaxis SM-2BU | Capacitive | Touch | |||
| NeuBio MARS 02 | Optical | Touch | 0.6" x 0.7" | 252 x 330 | |
| NEXT Biometrics NB-3010-U | Thermal | Touch | 0.5" x 0.7" | 180 x 256 | 385 ppi resolution |
| NEXT Biometrics NB-3023-U2 | Thermal | Touch | 0.5" x 0.7" | 180 x 256 | 385 ppi resolution |
| NEXT Biometrics NB-65200-U | Thermal | Touch | 0.6" x 0.8" | 300 x 400 | PIV certified |
| NITGEN eNBioScan-C1 | Optical | Touch | 0.6" x 0.7" | 260 x 330 | |
| NITGEN eNBioScan-D plus | Optical | Roll or touch | 1.9" x 1.9" | 952 x 952 | Two finger scanner. Appendix F Mobile ID FAP 45 certified. |
| NITGEN eNBioScan-F | Optical | Touch | 1.2" x 1.2" | 600 x 600 | PIV / FIPS 201 certified; FBI IQS compliant. |
| NITGEN Fingkey Hamster | Optical | Touch | 0.7" x 0.8" | ||
| NITGEN Fingkey Hamster II | Optical | Touch | 0.7" x 0.8" | Includes live finger detection | |
| NITGEN Fingkey Mouse III | Optical | Touch | 0.7" x 0.8" | Mouse with embedded fingerprint reader | |
| NITGEN NScan-T | Optical | Roll or touch | 3.2" x 3.0" | FBI Appendix F certified; Scans up to 4 flat fingerprints simultaneously and Rolled fingerprints. |
|
| SecuGen Hamster III | Optical | Touch | 0.6" x 0.7" | 260 x 300 | |
| SecuGen Hamster IV | Optical | Touch | 0.6" x 0.7" | 258 x 336 | PIV / FIPS 201 certified; FBI IAFIS IQS compliant. |
| SecuGen Hamster Plus | Optical | Touch | 0.6" x 0.7" | 260 x 300 | |
| SecuGen Hamster Pro | Optical | Touch | 0.7" x 0.9" | 260 x 300 | |
| SecuGen Hamster Pro 20 | Optical | Touch | 0.7" x 0.9" | 300 x 400 | PIV and Appendix F Mobile ID FAP 20 certified. |
| SecuGen Hamster Pro Duo CL | Optical | Touch | 0.7" x 0.9" | 300 x 400 | PIV and Appendix F Mobile ID FAP 20 certified. Embedded NFC reader |
| SecuGen Hamster Pro Duo SC/PIV | Optical | Touch | 0.7" x 0.9" | 300 x 400 | PIV and Appendix F Mobile ID FAP 20 certified. Embedded smart card reader |
| SecuGen iD-USB SC | Optical | Touch | 0.6" x 0.7" | 260 x 300 | Embedded smart card reader |
| SecuGen iD-USB SC/PIV | Optical | Touch | 0.6" x 0.7" | 258 x 336 | Embedded smart card reader |
| Shanghai Fingertech BIOCA-111 | Optical | Touch | 0.7" x 0.9" | ||
| SMUFS Biometric SMUFS BT | Capacitive | Touch | 0.5" x 0.7" | 256 x 360 | Bluetooth connection. PIV / FIPS 201 compliant fingerprint sensor. |
| Startek FC320U | Optical | Roll or touch | 0.9" x 0.9" | 450 x 450 | PIV / FIPS 201 compliant. |
| Startek FM220U | Optical | Touch | 0.5" x 0.6" | 264 x 324 | |
| Startek FPC360U | Capacitive | Touch | 0.5" x 0.7" | 256 x 360 | Dongle form-factor. |
| Suprema BioMini | Optical | Touch | 0.6" x 0.7" | 288 x 320 | |
| Suprema BioMini Combo | Optical | Touch | 0.7" x 1.0" | 320 x 480 | Embedded smart card reader. PIV / FIPS 201 compliant fingerprint sensor. |
| Suprema BioMini Plus | Optical | Touch | 0.6" x 0.7" | 260 x 340 | FIPS-201 (PIV) compliant |
| Suprema BioMini Plus2 | Optical | Touch | 0.6" x 0.7" | 315 x 354 | FIPS-201 (PIV) compliant |
| Suprema BioMini SFU-S20 | Optical | Touch | 0.7" x 1.0" | 320 x 480 | PIV and Appendix F Mobile ID FAP 20 certified. |
| Suprema BioMini Slim | Optical | Touch | 0.7" x 1.0" | 320 x 480 | PIV and Appendix F Mobile ID FAP 20 certified. |
| Suprema BioMini Slim 2 | Optical | Touch | 0.6" x 0.8" | 300 x 400 | PIV and Appendix F Mobile ID FAP 20 certified. |
| Suprema BioMini Slim 3 | Optical | Touch | 0.8" x 1.0" | 400 x 500 | PIV and Appendix F Mobile ID FAP 30 certified. |
| Suprema RealScan G1 | Optical | Touch | 1.0" x 1.0" | 500 x 500 | PIV-certified |
| Suprema RealScan-10 | Optical | Roll or touch | 3.2" x 3.0" | 1600 x 1500 | The scanner is able to scan up to 4 flat fingerprints simultaneously, or a single rolled fingerprint. |
| Suprema RealScan-D | Optical | Roll or touch | 1.8" x 1.8" | 900 x 900 | FBI IAFIS IQS certified; Scans 2 flat fingerprints simultaneously or 1 rolled fingerprint |
| Suprema RealScan-F | Optical | Roll or touch | 5.1" x 5.1" | 2550 x 2550 | Scans palm prints, up to 4 flat
fingerprints simultaneously or single rolled fingerprints; FBI IQS compliant (Appendix F of EFTS). |
| Suprema RealScan-FC | Optical | Roll or touch | 5.2" x 5.1" | 2500 x 2500 | Scans palm prints. |
| Suprema RealScan-G10 | Optical | Roll or touch | 3.2" x 3.0" | The scanner is able to scan up to 4 flat fingerprints simultaneously, or a single rolled fingerprint. | |
| Suprema RealScan-G10F | Optical | Touch | 3.2" x 3.0" | The scanner is able to scan up to 4 flat fingerprints simultaneously. | |
| Suprema SFR300-S | Optical | Touch | 0.6" x 0.7" | 288 x 288 | |
| Suprema SFU300 | Optical | Touch | 0.6" x 0.7" | 288 x 320 | |
| TENBIO TOUCH ONE | Optical | Touch | 0.8" x 1.0" | 340 x 380 | |
| Testech Bio-i CYTE | Hybrid | Touch | 0.6" x 0.7" | ||
| Thales Cogent CSD101i | Optical | Touch | 0.5" x 0.7" | 256 x 360 | PIV and Appendix F Mobile ID FAP 10 certified. |
| TopLink Pacific BLUEFiN | Capacitive | Touch | 0.5" x 0.7" | 256 x 360 | Bluetooth connection |
| TST Biometrics BiRD 3 | Optical | Non-contact | 0.6" x 0.7" | 480 x 640 | Includes live finger
detection; Optional ethernet connection. |
| UnionCommunity ViRDI FOH02SC | Optical | Touch | 0.6" x 0.7" | Embedded contactless smart card reader | |
| UPEK Eikon | Capacitive | Sweep | 1.0" x 0.4" | ||
| UPEK Eikon To Go | Capacitive | Sweep | 1.0" x 0.4" | ||
| UPEK TouchChip TCRU1C | Capacitive | Touch | 0.5" x 0.7" | 256 x 360 | |
| UPEK TouchChip TCRU2C | Capacitive | Touch | 0.4" x 0.6" | 208 x 288 | |
| ZKSoftware ZK4000 | Optical | Touch | 0.6" x 0.7" | 280 x 360 | |
| ZKSoftware ZK4500 | Optical | Touch | 0.6" x 0.8" | 280 x 360 | |
| ZKSoftware ZK6000 | Optical | Touch | 0.6" x 0.7" | ||
| ZKSoftware ZK7000 | Optical | Touch | 0.6" x 0.7" | ||
| ZKSoftware ZK8000 | Optical | Touch | 0.6" x 0.7" | Embedded MIFARE card reader / writer | |
| ZKTeco SLK20R | Optical | Touch | 0.6" x 0.8 | 300 x 400 | |
| ZKTeco ZK9500 | Optical | Touch | 0.6" x 0.8 | 300 x 400 | |
| Zvetco Verifi P5100 | Capacitive | Touch | 0.5" x 0.7" | 256 x 360 | Based on PIV / FIPS 201 certified UPEK TCS1 sensor |
System Requirements
There are specific requirements for each platform which will run VeriFinger-based applications.
Microsoft Windows Platform Requirements
Microsoft Windows 7 / 8 / 10.
PC or laptop with x86-64 (64-bit) compatible processors.
- 2 GHz or better processor is recommended.
- x86 (32-bit) processors can still be used, but the algorithm will not provide the specified performance.
- AVX2 support is highly recommended. Processors that do not support AVX2 will still run the VeriFinger algorithms, but in a mode, which will not provide the specified performance. Most modern processors support this instruction set, but please check if a particular processor model supports it.
2 GB of free RAM is recommended for general usage
scenarios.
It is possible to reduce RAM usage for particular scenarios.
Also, additional RAM may be required for applications that perform 1-to-many
identification, as all biometric templates need to be stored in RAM for matching.
Fingerprint reader.
VeriFinger SDK includes support modules for more than 160 fingerprint scanners under
Microsoft Windows platform.
Integrators can also write plug-ins to support their fingerprint
readers using the plug-in framework provided with the Device Manager from
the VeriFinger SDK.
Database engine or connection with it.
VeriFinger templates can be saved into any DB (including files) supporting binary data
saving.
VeriFinger Extended SDK contains the following support modules for Matching Server on
Microsoft Windows platform:
- Microsoft SQL Server;
- MySQL;
- Oracle;
- PostgreSQL;
- SQLite.
Network/LAN connection (TCP/IP) for client/server
applications.
Also, network connection is required for using Matching server component (included in
VeriFinger Extended SDK).
VeriFinger SDK does not provide communication encryption with the Matching server,
therefore, integrators should secure the communication by themselves.
Microsoft .NET framework 4.5 or newer (for .NET
components usage).
One of following development environments for
application development:
- Microsoft Visual Studio 2012 or newer (for application development under C/C++, C#, Visual Basic .Net)
- Java SE JDK 8 or newer
Android Platform Requirements
A smartphone or tablet that is running Android 5.0 (API
level 21) OS or newer.
- If you have a custom Android-based device or development board, contact us to find out if it is supported.
ARM-based 1.5 GHz processor recommended for
fingerprint processing in the specified time.
Slower processors may be also used, but the fingerprint processing will take longer
time.
At least 1 GB of free RAM should be available for
the application.
Additional RAM is required for applications that perform 1-to-many identification, as
all biometric templates need to be stored in RAM for matching.
Fingerprint reader.
VeriFinger SDK includes support modules for a number of fingerprint scanners under
Android platform.
Integrators can also write plug-ins to support their fingerprint
readers using the plug-in framework provided with the Device Manager from
the VeriFinger SDK.
Network/LAN connection (TCP/IP) for client/server
applications.
Also, network connection is required for using Matching server component (included in
VeriFinger Extended SDK).
VeriFinger SDK does not provide communication encryption with the Matching server,
therefore, integrators should secure the communication by themselves.
PC-side development environment requirements:
- Java SE JDK 8 (or higher)
- AndroidStudio 4.0 IDE
- AndroidSDK 21+ API level
- Gradle 6.1.1 build automation system or newer
- Android Gradle Plugin 4.0.0
- Internet connection for activating VerFinger component licenses
iOS Platform Requirements
One of the following devices, running iOS 11.0 or
newer:
- iPhone 5S or newer iPhone.
- iPad Air or newer iPad models.
At least 1 GB of free RAM should be available for
the application.
Additional RAM is required for applications that perform 1-to-many identification, as
all biometric templates need to be stored in RAM for matching.
Fingerprint reader.
VeriFinger SDK includes support modules for several fingerprint scanners under iOS
platform.
Also, fingerprint images in BMP, JPG or
PNG formats can be processed thus almost any third-party fingerprint
capturing hardware can be used with the VeriFinger technology if it generates images in
the mentioned formats.
Network/LAN connection (TCP/IP) for client/server
applications.
Also, network connection is required for using Matching server component (included in
VeriFinger Extended SDK).
Communication with Matching server is not encrypted, therefore, if communication must be
secured, a dedicated network (not accessible outside the system) or a secured network
(such as VPN; VPN must be configured using operating system or third party tools) is
recommended.
Development environment requirements:
- a Mac running macOS 10.12.6 or newer.
- Xcode 9.x or newer.
macOS Platform Requirements
A Mac running macOS 10.12.6 or newer.
- 2 GHz or better processor is recommended.
- AVX2 support is highly recommended. Processors that do not support AVX2 will still run the VeriFinger algorithms, but in a mode, which will not provide the specified performance. Most modern processors support this instruction set, but please check if a particular processor model supports it.
2 GB of free RAM is recommended for general usage
scenarios.
It is possible to reduce RAM usage for particular scenarios.
Also, additional RAM may be required for applications that perform 1-to-many
identification, as all biometric templates need to be stored in RAM for matching.
Fingerprint reader.
VeriFinger SDK includes support modules for a number of fingerprint scanners under macOS
platform.
Integrators can also write plug-ins to support their fingerprint
readers using the plug-in framework provided with the Device Manager from
the VeriFinger SDK.
Database engine or connection with it.
VeriFinger templates can be saved into any DB (including files) supporting binary data
saving.
VeriFinger Extended SDK contains SQLite support modules for Matching
Server on macOS platform.
Network/LAN connection (TCP/IP) for client/server
applications.
Also, network connection is required for using Matching server component (included in
VeriFinger Extended SDK).
VeriFinger SDK does not provide communication encryption with the Matching server,
therefore, integrators should secure the communication by themselves.
Specific requirements for application development:
- XCode 6.x or newer
- GNU Make 3.81 or newer (to build samples and tutorials development)
- Java SE JDK 8 or newer
Linux x86-64 Platform Requirements
Linux 3.10 kernel or newer is required.
PC or laptop with x86-64 (64-bit) compatible
processors.
- 2 GHz or better processor is recommended.
- x86 (32-bit) processors can still be used, but the algorithm will not provide the specified performance.
- AVX2 support is highly recommended. Processors that do not support AVX2 will still run the VeriFinger algorithms, but in a mode, which will not provide the specified performance. Most modern processors support this instruction set, but please check if a particular processor model supports it.
2 GB of free RAM is recommended for general usage
scenarios.
It is possible to reduce RAM usage for particular scenarios.
Also, additional RAM may be required for applications that perform 1-to-many
identification, as all biometric templates need to be stored in RAM for matching.
Fingerprint reader.
VeriFinger SDK includes support modules for a number of fingerprint scanners under Linux
x86/x86-64 platform.
Integrators can also write plug-ins to support their fingerprint
readers using the plug-in framework provided with the Device Manager from
the VeriFinger SDK.
glibc 2.17 library or newer
Database engine or connection with it.
VeriFinger templates can be saved into any DB (including files) supporting binary data
saving.
VeriFinger Extended SDK contains the following support modules for Matching Server on
Linux platform:
- MySQL;
- Oracle;
- PostgreSQL;
- SQLite.
Network/LAN connection (TCP/IP) for client/server
applications.
Also, network connection is required for using Matching server component (included in
VeriFinger Extended SDK).
VeriFinger SDK does not provide communication encryption with the Matching server,
therefore, integrators should secure the communication by themselves.
Specific requirements for application development:
- gcc 4.8 or newer
- GNU Make 3.81 or newer
- Java SE JDK 8 or newer
ARM Linux Platform Requirements
We recommend to contact us and report the specifications of a target device to find
out if it will be suitable for running VeriFinger-based applications.
There is a list of common requirements for ARM Linux platform:
A device with ARM-based processor, running Linux 3.2
kernel or newer.
ARM-based 1.5 GHz processor recommended for
fingerprint processing in the specified time.
- ARMHF architecture (EABI 32-bit hard-float ARMv7) is required.
- Lower clock-rate processors may be also used, but the fingerprint processing will take longer time.
At least 1 GB of free RAM should be available for
the application.
Additional RAM is required for applications that perform 1-to-many identification, as
all biometric templates need to be stored in RAM for matching.
Fingerprint reader.
VeriFinger SDK includes support modules for several fingerprint scanners under ARM Linux
platform.
Also, fingerprint images in BMP, JPG or
PNG formats can be processed thus almost any third-party fingerprint
capturing hardware can be used with the VeriFinger technology if it generates images in
the mentioned formats.
glibc 2.17 or newer.
Network/LAN connection (TCP/IP) for client/server
applications.
Also, network connection is required for using Matching server component (included in
VeriFinger Extended SDK).
VeriFinger SDK does not provide communication encryption with the Matching server,
therefore, integrators should secure the communication by themselves.
Development environment specific requirements:
- gcc 4.8 or newer
- GNU Make 3.81 or newer
- Java SE JDK 8 or newer
Technical Specifications
500 ppi is the recommended fingerprint image resolution for VeriFinger. The minimal fingerprint image resolution is 250 ppi. Also, the matching algorithm has a special mode, which is intended for the cases when some fingerprint records have incorrect resolution and allows to estimate the correct resolution from the minutiae distribution.
All fingerprint templates should be loaded into RAM before identification, thus the maximum fingerprint templates database size is limited by the amount of available RAM.
VeriFinger biometric template extraction and matching algorithm is designed to run on multi-core processors allowing to reach maximum possible performance on the used hardware.
| VeriFinger 12.1 fingerprint engine specifications | ||||
|---|---|---|---|---|
| Embedded / mobile (1) platform |
PC-based (2) platform |
|||
| Template extraction components | Mobile Fingerprint Extractor |
Mobile Fingerprint Client |
Fingerprint Client |
Fingerprint Extractor |
| Template extraction time (seconds) | 1.34 | 1.20 | 1.34 | 0.60 |
| Template matching components | Mobile Fingerprint Matcher |
Fingerprint Matcher | ||
| Template matching speed (3) (fingerprints per second) |
3,000 | 40,000 | ||
| Single fingerprint record size in a template (bytes) | 800 - 8,000 (configurable) |
|||
Notes:
(1) Requires to be run on iOS devices or Android devices
based on at least Snapdragon S4 system-on-chip with Krait
300 processor (4 cores, 1.51 GHz).
(2) Requires to be run on PC or laptop with at least Intel Core
i7-8700K processor.
(3) Speeds are provided for the maximized matching speed scenario.
The templates should be extracted from images, which are not larger than 500 x 500 pixels.
Setting the matching algorithm to higher accuracy or using templates from larger fingerprint
images will require more powerful hardware to reach the specified speed.
Reliability Tests
We present the testing results to show VeriFinger 12.1 template matching algorithm reliability on the data from different fingerprint readers.
| Flat fingerprint image datasets used for VeriFinger 12.1 algorithm testing | |||||
|---|---|---|---|---|---|
| Experiment 1 | Experiment 2 | Experiment 3 | |||
| Fingerprint reader model | DigitalPersona U.are.U 5100 |
Futronic FS80 | Cross Match Verifier 300 LC 2.0 |
||
| Image count | 11900 | 8600 | 10400 | ||
| Subject count | 73 | 43 | 67 | ||
| Unique finger count | 730 | 430 | 670 | ||
| Session count | 10 - 20 | 20 | 10 - 20 | ||
| Image size (pixels) | 252 x 324 | 320 x 480 | 640 x 480 | ||
Two tests were performed during each experiment:
- Test 1 maximized matching accuracy. VeriFinger 12.1 algorithm reliability in this test is shown as blue curves on the ROC charts.
- Test 2 maximized matching speed. VeriFinger 12.1 algorithm reliability in this test is shown as red curves on the ROC charts.
Receiver operation characteristic (ROC) curves are usually used to demonstrate the recognition quality of an algorithm. ROC curves show the dependence of false rejection rate (FRR) on the false acceptance rate (FAR).
Experiment 1
Click to zoom |
Experiment 2
Click to zoom |
Experiment 3
Click to zoom |
| VeriFinger 12.1 algorithm reliability tests | ||||||
|---|---|---|---|---|---|---|
| Experiment 1 | Experiment 2 | Experiment 3 | ||||
| Test 1 | Test 2 | Test 1 | Test 2 | Test 1 | Test 2 | |
| Average template size (bytes) | 1740 | 318 | 2490 | 444 | 2439 | 442 |
| EER | 0.2471 % | 0.8050 % | 0.0823 % | 0.3893 % | 0.0421 % | 0.1706 % |
| FRR at 0.1 % FAR | 0.3606 % | 1.1800 % | 0.0741 % | 0.5318 % | 0.0286 % | 0.1957 % |
| FRR at 0.01 % FAR | 0.6364 % | 1.5020 % | 0.2809 % | 0.6512 % | 0.0722 % | 0.2655 % |
| FRR at 0.001 % FAR | 0.8584 % | 1.8940 % | 0.4492 % | 0.7870 % | 0.1068 % | 0.4105 % |
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