VeriEye SDK
Iris identification for stand-alone and client-server 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 network-based solutions on Microsoft Windows, Linux, macOS, 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 13.0 iris engine specifications | ||||
|---|---|---|---|---|
| Embedded / mobile (1) platform |
PC-based (2) platform |
|||
| Template extraction components | Mobile Iris Extractor |
Mobile Iris Client |
Iris Extractor |
Iris Client |
| Template extraction time (seconds) | 1.34 | 1.20 | 1.34 | 0.60 |
| Template matching components | Mobile Iris Matcher | Iris Matcher | ||
| Template matching speed (irises per second) |
3,000 | 40,000 | ||
| Single iris record size in a template (bytes) | 2,466 | |||
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 Intel Core i7-8xxx or newer processor.
