VeriFinger 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, Mac OS X, iOS and Android platforms.

Fingerprint components

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.

See Product Advisor to find out what specific components will be needed for your system.

Fingerprint Matcher component

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 9.0 Standard SDK and VeriFinger 9.0 Extended SDK. More licenses for this component can be purchased any time by VeriFinger 9.0 SDK customers.

Embedded Fingerprint Matcher component

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 9.0 Standard SDK and VeriFinger 9.0 Extended SDK. More licenses for this component can be purchased any time by VeriFinger 9.0 SDK customers.

Fingerprint Client component

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 9.0 Extended SDK. More licenses for this component can be purchased any time by VeriFinger 9.0 Extended SDK customers.

Embedded Fingerprint Client component

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 9.0 Extended SDK. More licenses for this component can be purchased any time by VeriFinger 9.0 Extended SDK customers.

Fingerprint Extractor component

Fingerprint Extractor creates fingerprint templates from fingerprint images. Fingerprint templates can be stored in the following formats by the Fingerprint Extractor component:

  • Neurotechnology proprietary fingerprint template format;
  • ISO/IEC 19794-2:2005 with Cor. 1:2009 (General and On-Card Fingerprint Minutiae Data Formats);
  • ISO/IEC 19794-2:2011 with Cor. 1:2012 (General and On-Card Fingerprint Minutiae Data Formats);
  • ANSI/INCITS 378-2004 (Finger Minutiae Format for Data Interchange);
  • 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 9.0 Standard SDK and VeriFinger 9.0 Extended SDK. More licenses for this component can be purchased any time by VeriFinger 9.0 SDK customers.

Embedded Fingerprint Extractor component

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 9.0 Standard SDK and VeriFinger 9.0 Extended SDK. More licenses for this component can be purchased any time by VeriFinger 9.0 SDK customers.

Fingerprint Segmenter component

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:

  • Left Slant Loop;
  • Right Slant Loop;
  • Tented Arch;
  • Whorl;
  • Scar;
  • "Unknown" – for the nondetermined classes.

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 Java applications on all supported platforms. .NET wrappers of Windows libraries are provided for .NET developers.

The Fingerprint Segmenter licenses can be purchased anytime by VeriFinger 9.0 Extended SDK customers.

Fingerprint BSS (Biometric Standards Support) component

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:

  • BioAPI 2.0 (ISO/IEC 19784-1:2006) (Framework and Biometric Service Provider for fingerprint identification engine)
  • CBEFF V1.2 (ANSI INCITS 398-2008) (Common Biometric Exchange Formats Framework)
  • CBEFF V2.0 (ISO/IEC 19785-1:2006, 19785-3:2007) (Common Biometric Exchange Formats Framework)
  • ISO/IEC 19794-4:2005 with Cor. 1:2011 (Finger Image Data)
  • ISO/IEC 19794-4:2011 with Cor. 1:2012 (Finger Image Data)
  • ANSI/INCITS 381-2004 (Finger Image-Based Data Interchange Format)
  • ANSI/INCITS 381-2009 with Amd. 1:2011 (Finger Image-Based Data Interchange Format)
  • ANSI/NIST-CSL 1-1993 (Data Format for the Interchange of Fingerprint, Facial, & SMT Information)
  • ANSI/NIST-ITL 1a-1997 (Data Format for the Interchange of Fingerprint, Facial, & SMT Information)
  • ANSI/NIST-ITL 1-2000 (Data Format for the Interchange of Fingerprint, Facial, & SMT Information)
  • ANSI/NIST-ITL 1-2007 (Data Format for the Interchange of Fingerprint, Facial, & Other Biometric Information)
  • 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 9.0 Extended SDK customers.

Fingerprint WSQ component

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 9.0 Extended SDK customers.