Fuzzy bipartite weighted graph matching approach to fingerprint verification

Kuo Chin Fan, Cheng Wen Liu, Yuan Kai Wang

研究成果: 雜誌貢獻會議論文同行評審

19 引文 斯高帕斯(Scopus)

摘要

In this paper, we propose a fuzzy bipartite weighted graph model to solve fingerprint verification problem. A fingerprint image has to be preprocessed first to capture clusters of feature points. 24 attributes that are characterized by fuzzy membership functions are extracted for each feature point cluster. Input image to be verified has a set of feature point clusters that are treated as the set of left nodes in a fuzzy bipartite weighted graph, and feature point clusters of template fingerprint images are the set of right nodes in the graph. Fingerprint verification problem is then formulated as a fuzzy bipartite weighted graph matching problem that is to find an optimal matching. A matching algorithm is proposed for the fuzzy bipartite weighted graph model.

原文???core.languages.en_GB???
頁(從 - 到)4363-4368
頁數6
期刊Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
5
出版狀態已出版 - 1998
事件Proceedings of the 1998 IEEE International Conference on Systems, Man, and Cybernetics. Part 3 (of 5) - San Diego, CA, USA
持續時間: 11 10月 199814 10月 1998

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