DocumentCode :
3300551
Title :
Remaining fingerprint segmentation based on convex hull model
Author :
Feng, Wang
Author_Institution :
Sch. of Comput. & Inf., FuYang Teachers Coll., Fuyang, China
fYear :
2010
fDate :
25-27 June 2010
Firstpage :
449
Lastpage :
453
Abstract :
For the problem that the remaining fingerprint cannot be segmented easily, this paper proposes a segmentation algorithm for fingerprint images with remaining ridges based on convex hull model. The algorithm firstly pre-processes fingerprint images,and then discrete points information of fingerprint ridge edge is extracted based on edge detection, subquently the center point as the seed point detects the potential fingerprint contour and using an improved method revised contour so as to obtain its convex hull. Finally we remove the remaining fingerprint based on connected region area calculation. The experimental results show that this method has high accuracy and noise immunity, And it can effectively segment the remaining fingerprint from the foreground.
Keywords :
edge detection; fingerprint identification; image segmentation; center point; connected region area; convex hull model; discrete points information; edge detection; fingerprint contour; fingerprint image segmentation; fingerprint ridge edge; noise immunity; seed point; Computer networks; Data mining; Educational institutions; Educational technology; Feature extraction; Fingerprint recognition; Image edge detection; Image matching; Image segmentation; Pixel; contour; convex hull; fingerprint segmentation; remaining fingerprint;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Educational and Network Technology (ICENT), 2010 International Conference on
Conference_Location :
Qinhuangdao
Print_ISBN :
978-1-4244-7660-2
Electronic_ISBN :
978-1-4244-7662-6
Type :
conf
DOI :
10.1109/ICENT.2010.5532264
Filename :
5532264
Link To Document :
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