A minutia matching algorithm in fingerprint verification

Fingerprint matching is one of the most important problem in AFIS. In general, we use minutiae such as ridge endings and ridge bifurcation to represent a fingerprint and do fingerprint matching through minutiae matching. In this paper, we proposed a minutia matching algorithm which modified Jain et al.'s algorithm. Our algorithm can better distinguish two images from different fingers and is more robust to nonlinear deformation. Experiments done on a set of fingerprint images captured with an inkless scanner shows that our algorithm is fast and has high accuracy.