Fingerprint recognition performance evaluation for mobile ID applications

Abstract

According to a report by Frost and Sullivan in 2007, revenues for non-AFIS fingerprint devices in notebook PC's and wireless devices is anticipated to grow from $148.5 million to $1588.0 million by 2014, a compound annual growth rate of 40.3% [1]. The AFIS market has a compound annual growth rate of 15.2% with revenues of $445.0 million in 2007. With the development of mobile applications in a number of different market segments, such as healthcare, retail, and law enforcement, this paper analyzed the performance of fingerprints of different sizes, from different sensors (commercialy available optical and capacitance) which were generated in accordance with NIST Mobile ID best practices document using an automated image cropping process. The minutiae count, image quality scores, false non match rates (FNMR) and false match rates (FMR) were evaluated for images of seven different image sizes, ranging from 0.098?X0.126? to 0.578?X0.618?. The results provide insight into constraints of fingerprint image sizes, interoperability and fingerprint matching of different sizes in a mobile ID environment.