Fingerprint image segmentation using modified fuzzy c-means algorithm
Jia-Yin Kang, Cheng-Long Gong, Wen-Juan Zhang
DOI: 10.4236/jbise.2009.28096   PDF    HTML     6,700 Downloads   13,207 Views   Citations


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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Kang, J. , Gong, C. and Zhang, W. (2009) Fingerprint image segmentation using modified fuzzy c-means algorithm. Journal of Biomedical Science and Engineering, 2, 656-660. doi: 10.4236/jbise.2009.28096.

Conflicts of Interest

The authors declare no conflicts of interest.


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