Fingerprint image segmentation using modified fuzzy c-means algorithm ()
Abstract
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.
Share and Cite:
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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