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A Tree System Approach for Fingerprint Pattern Recognition

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2 Author(s)
Bijan Moayer ; School of Electrical Engineering, Purdue University, West Lafayette, IN 47907; Tehran Polytechnic, Tehran, Iran. ; King-Sun Fu

The purpose of this paper is to demonstrate how a syntactic approach and, in particular, a tree system may be used to represent and classify fingerprint patterns. The fingerprint impressions are subdivided into sampling squares which are preprocessed and postprocessed for feature extraction. A set of regular tree languages is used to describe the fingerprint patterns and a set of tree automata is used to recognize the coded patterns. In order to infer the structural configuration of the encoded fingerprints, a grammatical inference system is developed. This sytem utilizes a simple procedure to infer the numerous substructures and relies on a reachability matrix and a man-machine interactive technique for the inference of complex structures. The 92 fingerprint impressions were used to test the proposed approach. A set of 193 tree grammars was inferred from each sampling square of the 4 × 4 sampling matrix which is capable of generating about 2 × 1034 classes for the fingerprint patterns.

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IEEE Transactions on Pattern Analysis and Machine Intelligence  (Volume:PAMI-8 ,  Issue: 3 )