Abstract | ||
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We present a new fast and effective method of fingerprint image segmentation, which is different from traditio-nal methods that usually use some certain features to segment diversified images. Based on the region of inte-rest, an approach is introduce, which is specialized on preprocessing a certain kind of bad fingerprint images with a great many blurs, false traces and sweat spots. It just mimics the way of finding region of interest by human beings and locating the area of low intensities quickly. Experimental result shows a significant improve-ment in fingerprint segmentation performance. |
Year | DOI | Venue |
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2004 | 10.2312/EGMM/MM04/145-151 | EGMM'04 Proceedings of the Seventh Eurographics conference on Multimedia |
Keywords | Field | DocType |
certain feature,effective method,certain kind,human being,bad fingerprint image,new fingerprint image segmentation,low intensity,false trace,fingerprint segmentation performance,fingerprint image segmentation | Computer vision,Fingerprint segmentation,Scale-space segmentation,Segmentation,Computer science,Effective method,Fingerprint image,Fingerprint,Preprocessor,Artificial intelligence,Region of interest | Conference |
ISBN | Citations | PageRank |
3-905673-17-7 | 3 | 0.60 |
References | Authors | |
5 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Zhongchao Shi | 1 | 24 | 5.65 |
Ke Xu | 2 | 23 | 3.85 |
Yangsheng Wang | 3 | 750 | 66.25 |