Fingerprint image segmentation using modified fuzzy c-means algorithm | Zendy

Jiayin Kang | Zendy; Chenglong Gong | Zendy; Wenjuan Zhang | Zendy

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Fingerprint image segmentation using modified fuzzy c-means algorithm

Author(s) -

Jiayin Kang,

Chenglong Gong,

Wenjuan Zhang

Publication year - 2009

Publication title -

journal of biomedical science and engineering

Language(s) - English

Resource type - Journals

eISSN - 1937-688X

pISSN - 1937-6871

DOI - 10.4236/jbise.2009.28096

Subject(s) - fingerprint (computing) , artificial intelligence , pattern recognition (psychology) , computer science , histogram , fingerprint recognition , segmentation , fuzzy logic , computer vision , image segmentation , image (mathematics)

Fingerprint segmentation is a crucial step in fingerprint recognition system, and determines the results of fingerprint analysis and recognition. This paper proposes an efficient approach for fingerprint segmentation based on modified fuzzy c-means (FCM). The proposed method is realized by modifying the objective function in the Szilagyi’s algorithm via introducing histogram-based weight. Experimental results show that the proposed approach has an efficient performance while segmenting both original fingerprint image and fingerprint images corrupted by different type of noises

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