VeriEye SDK

Iris identification for stand-alone and Web solutions

VeriEye iris identification technology is designed for biometric systems developers and integrators. The technology includes many proprietary solutions that enable robust iris enrollment under various conditions and fast iris 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.

Technical Specifications

64 pixels is the minimal radius of circle containing full iris texture, that is required for iris template extraction.

Near-infrared spectral region is recommended for iris image capture.

All iris templates should be loaded into RAM before identification, thus the maximum iris template database size is limited by the amount of available RAM.

VeriEye biometric template extraction and matching algorithm is designed to run on multi-core processors allowing to reach maximum possible performance on the used hardware.

VeriEye 9.0 iris engine specifications
  Embedded / mobile (1)
platform
PC-based (2)
platform
Template extraction components Embedded
Iris
Extractor
Embedded
Iris
Client
Iris
Extractor
Iris
Client
Template extraction time (seconds) 1.34 1.20 1.34 0.60
Template matching components Embedded Iris Matcher Iris Matcher
Template matching speed
(irises per second)
3,000 40,000
Single iris record size in a template (bytes) 2,348

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 2 Q9400 quad-core processor (2.67 GHz) to reach the specified performance.