VeriLook SDK

Face identification for stand-alone or Web applications

VeriLook facial identification technology is designed for biometric systems developers and integrators. The technology assures system performance and reliability with live face detection, simultaneous multiple face recognition and fast face 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.

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Face Client component

The Face Client component is a combination of the Face Extractor, Face Token Image and Face BSS sub-components. It is intended for the systems that need to support 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.

Face Client creates face templates from face images. The component can generalize a face template from several images that include the same face to improve the template's quality.

The Face Client extracts a single face template in 0.6 seconds. The specified performance requires a PC or laptop with at least Intel Core 2 Q9400 (2.67 GHz) processor.

Device Manager software allows to perform simultaneous capture from multiple cameras. Integrators can write plug-ins to support their cameras or other devices using the plug-in framework provided with the Device Manager.

Three licenses for the Face Client component are included with VeriLook 10.0 Extended SDK. More licenses for this component can be purchased any time by VeriLook 10.0 Extended SDK customers.

Face Token Image component

The Face Token Image component is designed to provide token(1) face images compatible with the Face Image Format as in ISO/IEC 19794 standard. This face image format enables range of applications on variety of devices, including devices that have limited resources required for data storage, and improves recognition accuracy by specifying data format, scene constraints (lighting, pose), photographic properties (positioning, camera focus) and digital image attributes (image resolution, image size).

The Face Token Image component has the following features:

  • Face Token Image creation from an image containing human face using eye coordinates which may be either hand marked or detected automatically using Neurotechnology face detection algorithm.
  • Face is detected and eye coordinates are acquired using state-of-the-art Neurotechnology face detection and recognition algorithm.
  • Geometrical face image normalization according to the proportions and photographic properties, which are specified in ISO/IEC 19794 standard.
  • Intelligent image padding algorithm for cutting off parts of Face Token Image as specified in ISO/IEC 19794 standard.
  • Evaluation of the created token face image for the following quality criteria suggested in ISO/IEC 19794 standard:
    • Background uniformity – the background in the token face image should be uniform, not cluttered.
    • Sharpness – the token face image should not be blurred.
    • Too light or too dark images – the token face image should not be too dark or too light.
    • Exposure range of an image – the token face image should have a reasonable exposure range to represent as much details of the subject in the image as possible.
  • Evaluation of the token face image quality based on suggestions of ISO/IEC 19794 standard (using the quality criteria above).
  • Captured faces can be checked for compliancy with ICAO requirements. These requirements are checked:
    • image pixelation, washed out colors;
    • face darkness, skin tone, skin reflections, glasses reflections;
    • red eyes, looking away eyes (the red eyes can be corrected automatically).

The Face Token Image component also includes proprietary algorithms for these functionalities:

  • Person's gender recognition.
  • Emotions detection.
  • Facial feature points extraction for each person from an image.
  • Age estimation for each person from an image.
  • Additional face attributes detection: smile, open-mouth, closed-eyes, glasses and dark-glasses.
  • Live face detection can be used for determining whether a face in a video stream belongs to a real human or is a photo. See recommendations for live face detection for more information.

The component 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.

Licenses for this component can be purchased anytime by VeriLook 10.0 Extended SDK customers.

(1) Token in this context is used as "symbolic image, good enough image for machine recognition." Token Image as in ISO/IEC19794-5: "A Face Image Type that specifies frontal images with a specific geometric size and eye positioning based on the width and height of the image. This image type is suitable for minimizing the storage requirements for computer face recognition tasks such as verification while still offering vendor independence and human verification (versus human examination which requires more detail) capabilities."

Face BSS (Biometric Standards Support) component

The Face BSS (Biometric Standards Support) component allows to integrate support for facial image format standards and additional image formats with new or existing biometric systems based on MegaMatcher SDK.

These biometric standards are supported:

  • BioAPI 2.0 (ISO/IEC 19784-1:2006) (Framework and Biometric Service Provider for Face Identification Engine)
  • CBEFF V1.2 (ANSI INCITS 398-2008) (Common Biometric Exchange Formats Framework)
  • CBEFF V2.0 (ISO/IEC 19785-1:2006 with Amd. 1:2010, 19785-3:2007 with Amd. 1:2010) (Common Biometric Exchange Formats Framework)
  • CBEFF V3.0 (19785-3:2015) (Common Biometric Exchange Formats Framework)
  • ISO/IEC 19794-5:2005 (Biometric Data Interchange Formats - Face Image Data)
  • ISO/IEC 19794-5:2011 (Biometric Data Interchange Formats - Face Image Data)
  • ANSI/INCITS 385-2004 (Face Recognition Format for Data Interchange)
  • 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)
  • ANSI/NIST-ITL 1-2011 (Data Format for the Interchange of Fingerprint, Facial, & Other Biometric Information)
  • ANSI/NIST-ITL 1-2011 Update:2013 Edition 2 (Data Format for the Interchange of Fingerprint, Facial, & Other Biometric Information)
  • ANSI/NIST-ITL 1-2011 Update:2015 (Data Format for the Interchange of Fingerprint, Facial, & Other Biometric Information)

Face BSS component also allows to integrate JPEG 2000 with Lossy and Lossless Face Profiles support into applications based on MegaMatcher SDK.

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 Face BSS component can be purchased anytime by VeriLook 10.0 Extended SDK customers.

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Neurotechnology Distributors Map Ex-Cle S.A - representative in Argentina FingerSec do Brasil - distributor in Brazil (web site in Portuguese) Distributors in Chile Neurotechnology's Chinese Office (web site in Chinese) Security Systems Ltda - distributor in Colombia (web site in Spanish) Data6terms - distributor in Congo D.R. General Security El Salvador - distributor in El Salvador (web site in Spanish) Infokey Software Solutions - distributor in Greece (web site in Greek and English) Fulcrum Biometrics India Pvt. Ltd. - distributor in India Accent e Technology - distributor in India Biometric srl - distributor in Italy (web site in Italian) Software Sources Ltd - distributor in Israel Tegara Corporation - distributor in Japan (web site in Japanese) Bruce and Brian Co., LTD. - distributor in Korea (web site in Korean) Digital Data Systems - distributor in Pakistan Ex-Cle S.A - distributor in Paraguay Digital Works - distributor in Peru Fingerprint i.t. - distributor in South Africa Intuate Biometrics - distributor in Spain (web site in Spanish) Sri Lanka Division - Neurotechnology Lab Delaney Biometrics - distributor in the UK Fulcrum Biometrics - representative in the USA Unifyia, Inc - distributor in the USA Distributors in Venezuela
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