Warwick Warp Ltd, a UK-based developer of novel fingerprint recognition technology is pleased to announce that it has achieved the third highest rank in an independently administered technology evaluation of latent fingerprint feature-based matching systems conducted by the National Institute for Standards and Technology (NIST).

The purpose of the of test was to evaluate the current state-of-the-art in latent feature-based matching, by comparing the accuracy of searches using images alone with searches using different feature sets. In the preliminary report published from the Evaluation of Latent Fingerprint Technologies: Extended Feature Sets test, Warwick Warp came third with regards to overall performance accuracy.

Andrew Waterfall, CEO of Warwick Warp commented "We are extremely pleased that our system has performed so well in this test, particularly as five leading fingerprint vendors competed in with us in the test. The latent matching capabilities of our algorithm are particularly important for a variety of applications such as law enforcement, border control and workforce management and the results of this test will help companies operating in these areas to choose the best biometrics solutions for their needs".

"Warwick Warp has always prided itself on the ability of its fingerprint recognition system to cope particularly well with prints of low quality", stated Dr Li Wang, CTO of Warwick Warp. "This is the first benchmark submission of our product which is specifically aimed at latent prints and we are delighted that it has immediately been ranked third highest worldwide for performance accuracy".

Terry Swainbank, Investment Director for Synergis Technologies, part of the Porton Capital group added "We invested in Warwick Warp because we felt that the its innovative software incorporates a completely new approach to fingerprint recognition that would exceed current accuracy expectations. The results of the NIST test have proved that Warwick Warp's technology provides market-leading accuracy which is particularly important for the Company as it enters the next exciting phase of its commercial development".

Warwick Warp Ltd, a spinout company from the University of Warwick, has developed a novel fingerprint recognition technology based on the shortcomings of current systems such as their inability to deal with poor quality fingerprints.

Warwick Warp's algorithms overcome these shortcomings by applying an adaptive mathematical model to model the ridge structures as well as allowing for both linear and non-linear deformation in the measurement. The algorithms are designed to deal effectively with low quality fingerprints to produce images that can be matched with greater accuracy.

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