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Fingerprint Image Segmentation Using Modified Fuzzy C-Means Algorithm

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2 Author(s)
Jiayin Kang ; Sch. of Electron. Eng., Huaihai Inst. of Technol., Lianyungang, China ; Wenjuan Zhang

Fingerprint segmentation is a crucial step in fingerprint recognition system, and determines the results of fingerprint analysis and recognition. In this paper, an approach for fingerprint segmentation based on modified fuzzy c-means (FCM) is presented. The proposed algorithm is realized by modifying the objective function in the Szilagyi's algorithm via introducing the gray histogram-based weighting. Experimental results show that proposed method can extract the fingerprint effectively and efficiently from original image.

Published in:

Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on

Date of Conference:

11-13 June 2009