Study of the multi-level index fingerprint classification algorithm

In order to improve the index speed and the accuracy of fingerprint recognition system for the large population, a fingerprint classification algorithm based on multi-level index is proposed. Quality feature is used to classify fingerprints into three types: low quality, high quality and disability. For the high quality fingerprints, three features, according to ridge shape, macroscopic curve and singular point, are used to establish three-step index, which decreases the index space gradually.