Independent benchmarking by the UK's National Physical Laboratory (NPL) places Warwick Warp's AFIS top for accuracy in comparison to other market leading AFIS products.

Warwick Warp Ltd, a UK-based developer of novel fingerprint recognition technology is pleased to announce that it has achieved the highest rank in terms of matching accuracy in an independent benchmarking survey against leading global suppliers of fingerprint recognition products conducted by the National Physical Laboratory, Teddington, UK.

The purpose of the evaluation was to benchmark the verification performance and make comparisons against algorithms of leading fingerprint vendors. The technology evaluation was conducted using two fingerprint databases and compared Warwick Warp's technology with that of leading commercial fingerprint recognition providers such as Cogent, Motorola, NEC and Sagem.

Andrew Waterfall, CEO of Warwick Warp commented "We are delighted that our system has performed so well in this study, particularly as we faced strong competition from leading fingerprint vendors. The recognition it provides us will be extremely valuable as our groundbreaking technology enters the next commercial phase. Our vision is to be the fingerprint recognition vendor of choice for both civil and criminal applications".

"This result is indicative of the significant advances that Warwick Warp has made in the exciting field of fingerprint recognition", stated Dr Li Wang, CTO of Warwick Warp. "Our technology has a number of distinguishing features that offers superior performance in identifying individuals above that of competing systems. We pride ourselves on the ability of our technology to cope with prints of low quality and it is this unique approach in dealing with low quality prints that has led to the overall improvement in accuracy. Our algorithm has the capability to not only improve matching accuracy but also the speed of the fingerprint recognition process".

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. Furthermore, the technology can robustly detect and incorporate what are known as third level features into the measurement such as sweat pores which have the potential to further increase accuracy in the match.

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