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Fingerprint image segmentation using modified fuzzy c-means algorithm 被引量:1
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作者 Jia-Yin Kang cheng-long gong Wen-Juan Zhang 《Journal of Biomedical Science and Engineering》 2009年第8期656-660,共5页
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 ... 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. 展开更多
关键词 FINGERPRINT SEGMENTATION FUZZY C-MEANS HISTOGRAM ROBUSTNESS
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