Rapid-Match™

Retica’s software team has developed a set of core iris algorithms for iris encoding and matching. Retica's Rapid-Match API releases the full power of these state of the art proprietary methods.

Accuracy-Speed-Robustness

The full potential of the iris biometric is embraced by highly accurate iris localization and optimized encoder design. Retica’s random-bit binary iris encoding methods have demonstrated higher levels of information content than competing methods (degrees of freedom N = 758). Large databases require very small false match rates. Our Iris Encoder/Matcher tools have been subjected to independent third-party testing using unseen datasets of iris images. Tests included over 90 billion imposter matches.  Our true-match-rates were shown to be stable (fell < 1.5%) at false-accept rates ranging from 1 in 1 million to 1 in 10 billion. Matching speeds of the order of 240,000 matches per second per CPU-core for each rotation angle are scalable with COTS hardware.

Key Benefits:

• Simple API allows for rapid integration with client applications
• Leading iris recognition algorithm
• Open access to match scores and image quality estimates, allowing flexibility in the application of our iris biometric (e.g. User-defined score thresholds, score fusion)
• Accurate and rapid encoding / matching functions, allowing integration with larger scale databases
• Audit existing iris image databases with rapid encoding and specialized N:N matching functions
• 64 bit version allows matching of huge numbers of templates in memory