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Face Matcher component

List of components:
  • Face Matcher;
  • Fast Face Matcher;
  • Face Client;
  • Face Extractor;
  • Face BSS.

The Face Matcher performs facial template matching in 1-to-1 (verification) and 1-to-many (identification) modes. Also the Face Matcher component includes fused matching algorithm that allows to increase template matching reliability by matching templates that contain fingerprint, face, voiceprint and/or iris records (note that matching fingerprints, irises and voiceprints requires to purchase Fingerprint Matcher, Iris Matcher and Voice Matcher components correspondingly).

Technical specifications and reliability and performance tests contain information abour the template matching speeds and recognition quality in different scenarios.

One Face Matcher license is included with VeriLook 5.2 Standard SDK, VeriLook 5.2 Extended SDK, MegaMatcher 4.3 Standard SDK and MegaMatcher 4.3 Extended SDK. More licenses for this component can be purchased any time by VeriLook 5.2 SDK and MegaMatcher 4.3 SDK customers.

Fast Face Matcher component

The Fast Face Matcher component is intended for the large-scale biometric systems. The component includes a fast matching mode and also has the same matching mode as the regular Face Matcher.

Multi-biometric fused template matching can be achieved by combining the Fast Face Matcher component with Fingerprint, Voice and/or Iris Matchers (regular or fast versions of them can be used depending on project implementation).

See the reliability and performance testing results for the comparison of matching modes and multi-modal template matching.

One Fast Face Matcher license is included with MegaMatcher 4.3 Standard SDK. Two Fast Face Matcher licenses are included with MegaMatcher 4.3 Extended SDK. More licenses for this component can be purchased any time by MegaMatcher 4.3 SDK customers.

Face Client

The Face Client component is a combination of the Face Extractor and Face BSS 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.

Three non-concurrent licenses and one concurrent license for the Face Client component are included with VeriLook 5.2 Extended SDK, MegaMatcher 4.3 Standard SDK and MegaMatcher 4.3 Extended SDK. More non-concurrent and concurrent licenses for this component can be purchased any time by VeriLook 5.2 Extended SDK customers and MegaMatcher 4.3 SDK customers.

Face Extractor component

Face Extractor creates face templates from face images. Image quality control can be applied to accept only good quality face images.

The Extractor can generalize a face template from several images that include the same face to improve the template's quality.

Live face detection can be used for determining whether a face in a video stream belongs to a real human or is a photo.

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.

See technical specifications for the template extraction speed, the size of face template and the requirements for image size and camera resolution.

One Face Extractor license is included with VeriLook 5.2 Standard SDK, VeriLook 5.2 Extended SDK, MegaMatcher 4.3 Standard SDK and MegaMatcher 4.3 Extended SDK. More licenses for this component can be purchased any time by VeriLook 5.2 SDK and MegaMatcher 4.3 SDK customers.

Face BSS (Biometric Standards Support)

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 VeriLook SDK or MegaMatcher SDK.

These biometric standards are supported:

  • BioAPI 2.0 (ISO/IEC 19784-1:2006) (Framework and Biometric Service Provider for Face Identification Engine)
  • ISO/IEC 19794-5:2005 (Face Image Data)
  • ANSI/INCITS 385-2004 (Face Recognition Format for Data Interchange)

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

Neurotechnology Token Face Image (NTFI) module is included in the component.

The NTFI module 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 module 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 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.
  • Evaluatuin 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).

*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."

The Face BSS component 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 5.2 Extended SDK and MegaMatcher 4.3 SDK customers.

Products
AFIS or multi-biometric fingerprint, iris, face and voice identification for large-scale systems.
MegaMatcher

Face identification for PC or Web solutions.
VeriLook

Fingerprint identification for PC and Web solutions.
VeriFinger

Iris identification for PC and Web solutions.
VeriEye

Speaker recognition for PC or Web applications.
VeriSpeak

Object recognition for robotics and computer vision.
SentiSight

SDKs for mobile devices:

More products for developers:

End-user products:
  • NCheck Finger Attendance – an attendance control application that uses fingerprint biometrics to perform employee identification.
  • NVeiler Video Filter – a plug-in for VirtualDub that automatically detects faces in a frame, tracks the faces (or other objects) in subsequent frames and hides them.
 
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