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Biometrical Standards Support add-on for VeriLook SDK

Neurotechnology offers Biometrical Standards Support (BSS) add-on for VeriLook SDK. The BSS add-on allows to integrate the support for facial image format standards and additional image formats to existing biometric systems based on VeriLook SDK.

Add-on description

The BSS add-on allows to integrate facial image format standards support into VeriLook-based biometrical systems. These standards are supported:

  • BioAPI 2.0 (ISO/IEC 1978-1:2006) (Framework and Biometric Service Providers for face identification engines)
  • ISO/IEC 19794-5:2005 (Face image Data)
  • ANSI/INCITS 385-2004 (Face Recognition Format for Data Interchange)

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

NTFI library

Neurotechnology Token Face Image (NTFI) library is included in the add-on.

The NTFI library is intended to provide token* 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 NTFI library has the following features:

  • Token face image creation from an image containing human face using eye coordinates which may be either hand marked or detected automatically using Neurotechnology VeriLook face detection algorithm.
  • Face is detected and eye coordinates are acquired using state-of-the-art Neurotechnology VeriLook face detection and recognition algorithm.
  • Geometrical normalization of face image according to proportions and photographic properties in ISO/IEC 19794 standard.
  • Intelligent image padding algorithm for cut of parts of token face image as in ISO/IEC 19794 standard.
  • Test the created token face image for 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.
  • Evaluate token face image quality based on suggestions of ISO/IEC 19794 standard (Using the quality criteria above).

*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."

Add-on structure and supported platforms

The BSS Add-on for VeriLook includes:

  • Biometrical standard support components for all mentioned standards
  • NTFI library
  • JPEG 2000 support component
  • Documentation

The included components can be used from C/C++ and C# applications. The add-on supports platforms based on x86 processor architecture. Libraries for Windows and Linux operating systems are provided. .NET wrappers of Windows libraries are provided for .NET developers.

System requirements

The BSS add-on for VeriLook runs on PCs with Microsoft Windows and Linux operating systems. The system requirements for the BSS add-on are the same as the system requirements for VeriLook SDK.

Ordering information

Products
Multi-biometric face-fingerprint identification for large-scale systems.
MegaMatcher SDK

Fingerprint identification for PC and Web solutions.
VeriFinger SDK

Face identification for PC and Web solutions.
VeriLook SDK

Eye iris identification for PC and Web solutions.
VeriEye SDK

Object recognition for robotics and computer vision.
SentiSight SDK

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