$951.60
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, Mac OS X, iOS and Android platforms
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 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:
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.
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 (see technical specifications for more details).
VeriFinger functions can be used in 1-to-1 matching (verification), as well as 1-to-many mode (identification).
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.
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. A screenshot of the VeriFinger demo application shows an initial flat fingerprint image (left window), and the same image after the noise filtering and processing by VeriFinger (right window), with minutiae positions and directions marked by red circles and lines.
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.
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.
VeriFinger 10.0 includes algorithm modes that help to achieve better results for the supported fingerprint scanners.
VeriFinger fingerprint identification technology has received numerous awards in competitions and technology evaluations since its release in 1998.
In 2011 FBI certified Neurotechnology’s implementation of WSQ image format support.Certificates and additional information are available.
Neurotechnology participated in the Fingerprint Verification Competition several times and won numerous medals for reliability and performance. See the FVC2006 participation results, as well as FVC2004, FVC2002 and FVC2000 results for more information.
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, Mac OS X, 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 10.0 SDKs are available:
VeriFinger SDK includes the following biometric components for fingerprint image capture and segmentation, fingerprint template extraction and matching, as well as biometric standards and specific image format support.
The Fingerprint Matcher performs fingerprint template matching in 1-to-1 (verification) and 1-to-many (identification) modes. It is possible to match templates that contain 2 or more fingerprint records (note that Fingerprint Segmenter or Fingerprint Client components are required to perform template extraction from images that contain more than one fingerprint). Also the Fingerprint Matcher can be used together with Matching Server component for voiceprint matching on the server-side of a client-server system.
The Fingerprint Matcher component matches 40,000 fingerprints per second and is designed to be used in desktop or mobile biometric systems, which run on PCs or laptops with at least Intel Core 2 Q9400 (2.67 GHz) processor.
One Fingerprint Matcher license is included with VeriFinger 10.0 Standard SDK and VeriFinger 10.0 Extended SDK. More licenses for this component can be purchased any time by VeriFinger 10.0 SDK customers.
The Embedded Fingerprint Matcher has the same functionality, as the Fingerprint Matcher. It matches 3,000 fingerprints per second and is designed to be used in embedded or mobile biometric systems, which run on ARM Linux, Android or iOS devices. The Android devices should be based on at least Snapdragon S4 system-on-chip (Krait 300 processor with 4 cores running at 1.51 GHz).One Embedded Fingerprint Matcher license for each of Android, iOS and ARM Linux platforms is included with VeriFinger 10.0 Standard SDK and VeriFinger 10.0 Extended SDK. More licenses for this component can be purchased any time by VeriFinger 10.0 SDK customers.
The Fingerprint Client component is a combination of the Fingerprint Extractor, Fingerprint BSS, Fingerprint Segmenter and Fingerprint WSQ components. It is intended for the systems that need to support most or all functionality of the mentioned components on the same PC. Using these licenses allows to optimize component license costs as well as reduce license management.The Fingerprint Client extracts a single fingerprint template in 0.6 seconds. The specified performance requires a PC or laptop with at least Intel Core 2 Q9400 (2.67 GHz) processor.
Three licenses for the Fingerprint Client component are included with VeriFinger 10.0 Extended SDK. More licenses for this component can be purchased any time by VeriFinger 10.0 Extended SDK customers.
The Embedded Fingerprint Client component has the same functionality, as the Fingerprint Client component and is designed to be run on ARM Linux, Android or iOS devices. The Android devices should based on at least Snapdragon S4 system-on-chip (Krait 300 processor with 4 cores running at 1.51 GHz). The component extracts a single fingerprint template in 1.2 seconds.
Three licenses for the Embedded Fingerprint Client component for each of Android, iOS and ARM Linux platforms are included with VeriFinger 10.0 Extended SDK. More licenses for this component can be purchased any time by VeriFinger 10.0 Extended SDK customers.
Fingerprint Extractor creates fingerprint templates from fingerprint images. Fingerprint templates can be stored in the following formats by the Fingerprint Extractor component:
ANSI/INCITS 378-2009 with Amd. 1:2010 (Finger Minutiae Format for Data Interchange).
Proprietary image quality control may be applied to accept only good quality fingerprint images.
The Fingerprint Extractor can generalize a fingerprint template from several images that contain the same fingerprint to improve the template’s quality. The component extracts a single fingerprint template in 1.34 seconds. The specified performance requires a PC or laptop with at least Intel Core 2 Q9400 (2.67 GHz) processor.
One Fingerprint Extractor license is included with VeriFinger 10.0 Standard SDK and VeriFinger 10.0 Extended SDK. More licenses for this component can be purchased any time by VeriFinger 10.0 SDK customers.
The Embedded Fingerprint Extractor has the same functionality as the Fingerprint Extractor and is designed to be run on ARM Linux, Android or iOS devices. The Android devices should be based on at least Snapdragon S4 system-on-chip (Krait 300 processor with 4 cores running at 1.51 GHz). The component extracts a single fingerprint template in 1.34 seconds.
One Embedded Fingerprint Extractor license for each of Android, iOS and ARM Linux platforms is included with VeriFinger 10.0 Standard SDK and VeriFinger 10.0 Extended SDK. More licenses for this component can be purchased any time by VeriFinger 10.0 SDK customers.
The Fingerprint Segmenter components separates fingerprints if an image contains more than one fingerprint. This component enables Fingerprint Extractor component to process fingerprints from scanned tenprint card or image captured using scanners that allow to scan two or more fingers at once.
Fingerprint pattern classification module that allows to determine a fingerprint pattern class is included with Fingerprint Segmenter component. The classification is usually used in forensics, but it also may be used to increase fingerprint matching speed. The defined classes are:
The Fingerprint Segmenter is designed for desktop or mobile applications that run on PC or laptop with at least Intel Core 2 Q9400 (2.67 GHz) processor. It can be used from C/C++, C# and Javaapplications on all supported platforms. .NET wrappers of Windows libraries are provided for .NET developers.
The Fingerprint Segmenter licenses can be purchased anytime by VeriFinger 10.0 Extended SDK customers.
The Fingerprint BSS component allows to integrate support for fingerprint template and image format standards and additional image formats with new or existing biometric systems based on VeriFinger SDK.
These biometric standards are supported by the Fingerprint BSS component:
ANSI/NIST-ITL 1a-2009 (Data Format for the Interchange of Fingerprint, Facial, & Other Biometric Information)
The Fingerprint BSS component allows conversion between Neurotechnology proprietary fingerprint templates, ISO/IEC 19794-2:2005, ISO/IEC 19794-2:2011, ANSI/INCITS 378-2004, ANSI/INCITS 378-2009 and ANSI/NIST-ITL templates.
The Fingerprint BSS component also includes:
JPEG 2000 image format support module with 1000 ppi Fingerprint Profile;
NIST IHead image format support module;
module with NIST Fingerprint Image Quality (NFIQ) algorithm, a standard method to determine fingerprint image quality.
Latent Fingerprint Editor is available with Fingerprint BSS component. In most cases automated image processing is unable to extract all minutiae or extracts a lot of false minutiae from latent fingerprint image (for example, taken from the crime scene). Therefore, an expert should manually edit a fingerprint template in order to submit it to an AFIS for the identification.
Sample latent fingerprint template editor (.NET) shows how to change minutia’s coordinates, direction, type and other parameters.
The component is designed for applications that run on hardware with at least Intel Core 2 Q9400 (2.67 GHz) processor. It can be used from C/C++, C# and Java applications on all supported platforms. .NET wrappers of Windows libraries are provided for .NET developers.
Licenses for the Fingerprint BSS component can be purchased anytime by VeriFinger 10.0 Extended SDK customers.
The Fingerprint WSQ component allows to integrate support for WSQ (Wavelet Scalar Quantization) image format. The WSQ format allows to compress a fingerprint image up to 10-15 times. WSQ compression process is “lossy”, meaning that the reconstructed image is not equal to the original (some information is lost). However, the WSQ algorithm was specially designed to minimize the loss of fingerprint information therefore the reconstructed image is as close as possible to the original.
Neurotechnology’s implementation of WSQ 3.1 fingerprint image compression was certified by the FBI as compliant with the accuracy requirements in the Wavelet Scalar Quantization (WSQ) Gray-Scale Fingerprint Image Compression Specification, Version 3.1.
The component is designed for applications that run on hardware with at least Intel Core 2 Q9400(2.67 GHz) processor. It can be used from C/C++, C# and Java applications on all supported platforms. .NET wrappers of Windows libraries are provided for .NET developers.
Licenses for the Fingerprint WSQ component can be purchased anytime by VeriFinger 10.0 Extended SDK customers.
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. |
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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 |
ARH AFS 510 | Optical | Roll or touch | 4″ x 3″ | IAFIS IQS compliant. Scans up to 4 flat finger simultaneously. |
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Athena ASEDrive IIIe Combo Bio F2 | Capacitive | Touch | 0.4″ x 0.6″ | 208 x 288 | Embedded smart card reader |
Atmel FingerChip sensor family | Thermal | Sweep | 0.55″ x 0.02″ | 280 x 8 | |
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 Trident | Hybrid | 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. |
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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. |
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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. |
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Cross Match Guardian-F USB | Optical | Touch | 3.2″ x 3.0″ | FBI Appendix F certified; Scans up to 4 flat fingerprints simultaneously. |
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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. |
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Cross Match Patrol ID | Optical | Touch | 3.2″ x 3.0″ | FBI Appendix F certified; Scans up to 4 flat fingerprints simultaneously. |
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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. |
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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. Spoof/liveness detection. |
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DERMALOG ZF1 | Optical | Touch | 0.6″ x 0.9″ | 320 x 480 | PIV / FIPS 201 certified; Includes live finger detection |
Digent FD1000 | Optical | Touch | 0.6″ x 0.7″ | 280 x 320 | |
DigitalPersona EikonTouch 710 | Capacitive | Touch | 0.5″ x 0.7″ | 256 x 360 | FIPS 201 certified |
DigitalPersona U.are.U 2000 | Optical | Touch | 0.5″ x 0.7″ | ||
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 (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 |
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 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. |
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Green Bit DactyScan84c | Optical | Roll or touch | 3.2″ x 3.0 | FBI IQS compliant; Scans up to 4 flat fingerprints simultaneously. |
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Green Bit DactyScan84n | Optical | Roll or touch | 3.2″ x 3.0 | FBI IQS compliant; Scans up to 4 flat fingerprints simultaneously. |
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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). |
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HFSecurity HF-4000 | Optical | Touch | 0.8″ x 1.3″ | ||
HFSecurity HF-7000 | Capacitive | Touch | 0.5″ x 0.6″ | 256 x 288 | Bluetooth connection. |
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 |
id3 Certis Image | Thermal | Sweep | 0.55″ x 0.02″ | ||
Intech SOP1 | Optical | Touch | 1″ x 1″ | 500 x 500 | |
Integrated Biometrics Columbo | Hybrid | Touch | 0.8″ x 1.0″ | 400 x 500 | PIV and Appendix F Mobile ID FAP 30 certified. |
Integrated Biometrics Curve | Hybrid | Touch | 0.6″ x 0.7″ | 288 x 352 | Includes live finger detection |
Integrated Biometrics Kojak | Hybrid | 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 | Hybrid | Touch | 0.6″ x 0.7″ | Includes live finger detection | |
Integrated Biometrics Sherlock | Hybrid | 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 | Hybrid | 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 | Hybrid | Roll or touch | 1.6″ x 1.5″ | 800 x 750 | Two finger scanner. PIV and Appendix F Mobile ID FAP 45 certified. |
Jstac Athena 210 | Optical | Touch | 0.5″ x 0.6″ | 256 x 320 | |
Koehlke KIA-UM01 | Optical | Touch | 0.5″ x 0.6 | 240 x 288 | Mouse with embedded fingerprint reader |
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 | ||
LighTuning Technology LTT-C500 | Capacitive | Touch | 0.4″ x 0.5″ | 192 x 236 | |
Lumidigm Mercury Series sensors | Optical | Touch | 0.6″ x 0.7″ | Includes live finger detection. | |
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 FPR620 | Optical | Touch | |||
Miaxis SM-201 Bluetooth | Capacitive | Touch | Bluetooth connection | ||
Miaxis SM-201 Wi-Fi | Capacitive | Touch | Wi-Fi connection | ||
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 |
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 | |
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 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 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-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 RealScan-S | Optical | Touch | 1.6″ x 1.7″ | 600 x 600 | |
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 | |
Tacoma CMOS | Optical | Touch | 0.5″ x 0.5″ | 256 x 256 | |
TazTag TazPad | Capacitive | Touch | 0.5″ x 0.7″ | 256 x 360 | A tablet with integrated fingerprint reader, 2 cameras for face capture and microphone |
TENBIO TOUCH ONE | Optical | Touch | 0.8″ x 1.0″ | 340 x 380 | |
Testech Bio-i CYTE | Hybrid | Touch | 0.6″ x 0.7″ | ||
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 | |
ZKS Group ZKS-1000 | Optical | Touch | 0.5″ x 0.6″ | 256 x 256 | 403 ppi resolution |
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 | |
Zvetco Verifi P5100 | Capacitive | Touch | 0.5″ x 0.7″ | 256 x 360 | Based on PIV / FIPS 201 certified UPEK TCS1 sensor |
500 ppi is the recommended fingerprint image resolution for VeriFinger. The minimal fingerprint image resolution is 250 ppi.
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 10.0 fingerprint engine specifications | ||||
Embedded / mobile (1) platform |
PC-based (2) platform |
|||
Template extraction components | Embedded Fingerprint Extractor |
Embedded Fingerprint Client |
Fingerprint Extractor |
Fingerprint Client |
Template extraction time (seconds) | 1.34 | 1.20 | 1.34 | 0.60 |
Template matching components | Embedded Fingerprint Matcher |
Fingerprint Matcher | ||
Template matching speed (3) (fingerprints per second) |
3,000 | 40,000 | ||
Single fingerprint record size in a template (bytes) | 700 – 6,000 (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 2 Q9400 quad-core processor (2.67 GHz) to reach the specified performance.
(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.
The following licensing model is intended for end-userproduct developers. Integrators who want to develop and sell a VeriFinger-based development tool (with API, programming possibilities, programming samples, etc.), must obtain permission from Neurotechnology and sign a special VAR agreement.
An integrator should obtain either a VeriFinger 10.0 Standard SDK (EUR 339) or VeriFinger 10.0 Extended SDK (EUR 859) to develop a product based on VeriFinger technology. The SDK needs to be purchased just once and may be used by all the developers within the integrator’s company.
VeriFinger SDKs include a number of components; each particular component has specific functionality. A license for an individual VeriFinger component is required for each computer or device that run the component.
See Product Advisor to find out what specific components will be needed for your system.
See Product Advisor to find out what specific components will be needed for your system.
VeriFinger SDK components and licenses included with a specific SDK | ||
Component types | VeriFinger 10.0 Standard SDK |
VeriFinger 10.0 Extended SDK |
• Fingerprint Matcher | 1 single comp. license | 1 single comp. license |
• Embedded Fingerprint Matcher for Android |
1 single comp. license | 1 single comp. license |
• Embedded Fingerprint Matcher for iOS |
1 single comp. license | 1 single comp. license |
• Embedded Fingerprint Matcher for ARM Linux |
1 single comp. license | 1 single comp. license |
• Fingerprint Client (1) | 3 single comp. licenses | |
• Embedded Fingerprint Client for Android |
3 single comp. licenses | |
• Embedded Fingerprint Client for iOS |
3 single comp. licenses | |
• Embedded Fingerprint Client for ARM Linux |
3 single comp. licenses | |
• Fingerprint Extractor | 1 single comp. license | 1 single comp. license |
• Embedded Fingerprint Extractor for Android |
1 single comp. license | 1 single comp. license |
• Embedded Fingerprint Extractor for iOS |
1 single comp. license | 1 single comp. license |
• Embedded Fingerprint Extractor for ARM Linux |
1 single comp. license | 1 single comp. license |
• Matching Server | + |
(1) Fingerprint Client component includes Fingerprint Extractor, Fingerprint Segmenter, Fingerprint BSS and Fingerprint WSQ components, which can be also obtained separately.
Components are copy-protected – a license is required for a component to run. License activation options are listed below on this page.
Additional component licenses may be obtained by VeriFinger 10.0 SDK customers as required by their development process.
To deploy a product developed with VeriFinger 6.3 / 6.4 / 6.5 / 6.6 / 6.7 / 7.x / 8.0 / 10.0 SDK, an integrator need obtain only the additional licenses required for the particular VeriFinger 10.0 components that will run on each computer or device belonging to their customers. The available VeriFinger components and license types for product deployment are the same as for product development.
Each VeriFinger component running on a computer belonging to the integrator’s customer requires a license. License activation options are listed below on this page.
Prices for VeriFinger 10.0 SDK and additional VeriFinger component licenses can be found here.
The Licensing Agreement contains all licensing terms and conditions.
Note that you unambiguously accept this agreement by placing an order using Neurotechnology online ordering service or by email or other means of communications. Please read the agreement before making an order.
A single computer license allows the installation and running of a VeriFinger component installation on one computer or device. Neurotechnology provides a way to renew the license if the computer undergoes changes due to technical maintenance.
Each single computer license requires activation for a VeriFinger component to run. The available activation options are listed below on this page.
Additional single computer licenses for VeriFinger components may be obtained at any time by VeriFinger SDK customers.
Single computer licenses are supplied in three ways:
Serial numbers are used to activate licenses for particular VeriFinger components. 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 iOS and ARM-Linux platforms.
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 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.
Licenses may be stored in a volume license manager dongle. License activation using volume license manager 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. It consists of license management software and a dongle, used to store the purchased licenses. An integrator or an end-user may use the volume license manager 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. Neurotechnology will generate an update code and send it to you. Simply enter the code into the license manager to add the purchased licenses.
The VeriFinger enterprise license allows an unlimited use of VeriFinger components in end-user products for a specific territory, market segment or project. Specific restrictions would be included in the licensing agreement.
The enterprise license price depends on the application size and the number of potential users of the application within the designated territory, market segment or project.
For more information please contact us.
Existing VeriFinger customers may also use the license management options provided for their version of VeriFinger SDK:
VeriFinger 6.0 / 6.1 / 6.2 SDK license management reference
VeriFinger 5.0 SDK license management reference
VeriFinger 4.2 SDK license management reference
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