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Overview
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The iris of the human eye is as unique as a fingerprint. Each of our eyes has
a different iris with a completely unique pattern that, unless injured, remains
unchanged throughout our lives. Eye irises are captured at a distance, usually
in the near-infrared spectral region where even seemingly dark and plain irises
reveal rich texture.
The complexity and richness of iris texture, combined with
the randomness across the population, makes it possible to use iris recognition
in a number of biometric identification scenarios. An iris identification system
can be designed using:
- a common PC, that offers enough capabilities to perform
fast iris recognition and matching,
- a scanner or camera for scanning irises,
- software, which can be rapidly developed using an iris
identification SDK with all necessary technologies,
algorithms and interfaces included.
Once the software is developed, the system can be scaled up by adding more
PCs, cameras and obtaining additional technology licenses.
Neurotechnology offers iris identification technology and SDKs that provide
the required performance and reliability.
The technology
VeriEye iris
recognition technology is intended for biometric systems developers and
integrators. The proprietary technology features:
- Reliability. VeriEye 2.0 algorithm shows excellent
performance when tested on all publicly available datasets. Especially good
results are achieved on the recent NIST ICE2005 Exp1 database with iris
images of intentionally degraded quality (see testing
results ).
- Speed. VeriEye 2.0 iris enrollment time is less
than 0.5 sec. and matching speed is configurable
50,000-150,000 irises per second in 1:N identification mode. To
confirm these results with your samples, please
try the
VeriEye algorithm demo application.
- Uniqueness. The new proprietary iris recognition
algorithm is based on original methods that solve the drawbacks and
limitations of existing state-of-the-art algorithms.
- Robustness. Eye irises are detected even when the
images have obstructions, visual noise and different levels of various
illumination noises. Images with narrowed eyelids or eyes that are gazing
away eyes are also accepted.
- Simple multi-biometric system integration.
Compatibility with fingerprint and facial identification technologies from
the same vendor allows the VeriEye algorithm to be used together with other
Neurotechnology biometrical algorithms.
The SDK
VeriEye SDK is based on VeriEye iris recognition technology and is intended
for biometric systems developers and integrators. It allows rapid development of
biometric applications using functionality from the VeriEye algorithm, which
ensures high reliability of iris identification, 1:1 and 1:N matching modes and
comparison speeds of up to 150,000 irises per second. VeriEye can be easily
integrated into the customer's security system. The integrator has complete
control over SDK data input and output.
VeriEye SDK supports Microsoft Windows, Linux and Mac OS X.
The following types of SDK are available:
- VeriEye 2.0 Standard SDK is intended for PC-based
biometrical application development. It includes Matcher and Extractor
components, programming samples and tutorials, eye iris scanner drivers and
software documentation.
- VeriEye 2.0 Extended SDK is intended for biometrical
web-based and network application development. It includes all features of
Standard SDK. Additionally, the SDK contains sample client applications,
tutorials and a ready-to-use matching server.
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