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, macOS, iOS and Android platforms.

Technical Specifications and Usage Recommendations

  • General recommendations for facial recognition:
    • Face recognition accuracy of the VeriLook algorithm heavily depends on the quality of a face image. Image quality during enrollment is important, as it influences the quality of the face template.
    • 32 pixels is the recommended minimal distance between eyes for a face on image or video stream to perform face template extraction reliably. 64 pixels or more recommended for better face recognition results. Note that this distance should be native, not achieved by resizing an image.
    • Several images during enrollment are recommended for better facial template quality which results in improvement of recognition quality and reliability.
    • Additional enrollments may be needed when facial hair style changes, especially when beard or mustache is grown or shaved off.
  • The face recognition engine has certain tolerance to face posture:
    • head roll (tilt) – ±180 degrees (configurable);
      • ±15 degrees default value is the fastest setting which is usually sufficient for most near-frontal face images.
    • head pitch (nod) – ±15 degrees from frontal position.
      • The head pitch tolerance can be increased up to ±25 degrees if several views of the same face that covered different pitch angles were used during enrollment.
    • head yaw (bobble) – ±90 degrees from frontal position (configurable).
      • ±15 degrees default value is the fastest setting which is usually sufficient for most near-frontal face images.
      • 30 degrees difference between a face template in a database and a face image from camera is acceptable.
      • Several views of the same face can be enrolled to the database to cover the whole ±90 degrees yaw range from frontal position.
  • Face liveness check:
    • A stream of consecutive images (usually a video stream from a camera) is required for the live face detection.
    • When the liveness check is enabled, it is performed by the face engine before feature extraction. If the face in the stream fails to qualify as "live", the features are not extracted.
    • Only one face should be visible in these frames.
    • Users can enable these liveness check modes:
      • Active – the engine requests the user to perform certain actions like blinking or moving one's head. All requested actions should be performed to pass the liveness check. This mode can work with both colored and grayscale images. 5 frames per second or better frame rate required.
      • Passive – the engine analyzes certain facial features while the user stays still in front of the camera for a short period of time. Colored images are required for this mode. 10 frames per second or better frame rate is required. Better score is achieved when users do not move at all.
      • Passive then active – the engine first tries the passive liveness check, and if it fails, tries the active check. This mode requires colored images.
      • Simple – the engine requires user to turn head from side to side while looking at camera. This mode can work with both colored and grayscale images. 5 frames per second or better frame rate recommended.

VeriLook 11.1 face detection algorithm can run in maximal speed or maximal accuracy modes. The face detection times in the table below are provided for 640 x 480 pixels images as ranges, where the smallest time corresponds to the maximal speed mode, and the largest time – to the maximal accuracy. The head pitch tolerance in the table below is always ±15°. The face detection times are specified for a PC with Intel Core i7-4771 processor.

VeriLook 11.1 face detection algorithm performance for all faces in a frame on PC-based systems
Roll tolerance Yaw tolerance Time (milliseconds)
±15° ±15° 5 - 7
±15° ±45° 8 - 15
±15° ±90° 40
±45° ±15° 8 - 15
±45° ±45° 17 - 37
±45° ±90° 40
±180° ±15° 25 - 59
±180° ±45° 68 - 168
±180° ±90° 60

VeriLook biometric template extraction and matching algorithm is designed to run on multi-core processors allowing to reach maximum possible performance on the used hardware. Face template extraction is performed after all faces are detected in a frame. The template extraction time does not depend on image size.

VeriLook 11.1 face engine specifications
  Embedded / mobile (1)
platform
PC-based (2)
platform
Template extraction components Mobile
Face
Extractor
Mobile
Face
Client
Face
Extractor
Face
Client
Template extraction time (seconds) 1.34 1.20 1.34 0.60
Template matching components Mobile Face Matcher Face Matcher
Template matching speed
(faces per second)
3,000 40,000
Single face record size in a template (bytes) 194 or 464
(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 i7-4771 processor.

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 Unifyia Solutions India Pvt. Ltd. - 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) Biosec Solutions - distributor in Nigeria 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
Follow us
Facebook icon   LinkedIn icon   Twitter icon   Youtube icon
Copyright © 1998 - 2019 Neurotechnology | Terms & Conditions | Privacy Policy | Career