Title :
Fingerprint Image Segmentation Using Modified Fuzzy C-Means Algorithm
Author :
Kang, Jiayin ; Zhang, Wenjuan
Author_Institution :
Sch. of Electron. Eng., Huaihai Inst. of Technol., Lianyungang, China
Abstract :
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.
Keywords :
fingerprint identification; fuzzy logic; Szilagyi algorithm; fingerprint analysis; fingerprint image segmentation; fingerprint recognition system; gray histogram-based weighting; modified fuzzy c-means algorithm; Algorithm design and analysis; Clustering algorithms; Fingerprint recognition; Fuzzy systems; Image analysis; Image matching; Image segmentation; Iterative algorithms; Partitioning algorithms; Pixel;
Conference_Titel :
Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2901-1
Electronic_ISBN :
978-1-4244-2902-8
DOI :
10.1109/ICBBE.2009.5162858
