Description: Fingerprint classification is an important index for a large-scale fingerprint database, can effectively improve the efficiency of the fingerprint matching, the different performance of the fingerprint type fingerprint texture differences in the structure, while the direction of the field of the fingerprint can be effectively describe the texture differences in the structure. fingerprint different regions of the same type the direction angle differences in the structure and the adjacent areas between the direction of the angular structure of the contact can be regarded as a Markov Random Field paper embedded hidden Markov model fingerprint orientation field modeling analysis by reasonable to extract fingerprint type characteristics, construct observation vectors, modeling training, and then take advantage of the training good match Markov model eventually proposed and implemented a new robust and high precision fingerprint classification .
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