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Fingerprint image segmentation using modified fuzzy c-means algorithm

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DOI: 10.4236/jbise.2009.28096    6,038 Downloads   11,951 Views   Citations

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.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

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.

References

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