JBiSE  Vol.2 No.8 , December 2009
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.

Cite this paper
nullKang, 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.
References
[1]   J. P. Yin, E. Zhu and X. J. Yang. (2007) Two steps for fingerprint segmentation. Image and Vision Computing, 25, 1391–1403.

[2]   D. Zhang and Y. Wang. (2006) Medical image segmentation based on FCM clustering and rough set. Chinese Journal of Scientific Instrument, 27, 1683–1687.

[3]   W. J. Chen, M. L. Giger and U. Bick. (2006) A fuzzy c-means (FCM)-based approach for computerized segmentation of breast lesions in dynamic contrast-enhanced MR images. Academic Radiology, 13, 63–72.

[4]   J. M. Gorriz, J. Ramirez and E. W. Lang. (2006) Hard c-means clustering for voice activity detection. Speech Communication, 48, 1638–1649.

[5]   K. S. Chuang, H. L. Tzeng and S. W. Chen. (2006) Fuzzy c-means clustering with spatial information for image segmentation. Computerized Medical Imaging and Graphics, 30, 9–15.

[6]   J. Li, X. B. Gao and L. C. Jiao, (2006) A new feature weighted fuzzy clustering algorithm, Acta Electronica Sinica, 34, 89–92.

[7]   S. C. Chen and D. Q. Zhang. (2004) Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure. IEEE Trans. Systems Man Cybernet, B, 34, 1907–1916.

[8]   L. Szilagyi, Z. Benyo and S. M. Szilagyii. (2003) MR brain image segmentation using an enhanced fuzzy c- means algorithm. 25th Annual International Conference of IEEE EMBS, 17–21.

 
 
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