| dc.contributor.author | Shi, Zhongchao | en_US |
| dc.contributor.author | Xu, Ke | en_US |
| dc.contributor.author | Wang, Yangsheng | en_US |
| dc.contributor.editor | N. Correia and J. Jorge and T. Chambel and Z. Pan | en_US |
| dc.date.accessioned | 2014-01-26T16:16:45Z | |
| dc.date.available | 2014-01-26T16:16:45Z | |
| dc.date.issued | 2004 | en_US |
| dc.identifier.isbn | 3-905673-17-7 | en_US |
| dc.identifier.issn | 1812-7118 | en_US |
| dc.identifier.uri | http://dx.doi.org/10.2312/EGMM/MM04/145-151 | en_US |
| dc.description.abstract | 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. | en_US |
| dc.publisher | The Eurographics Association | en_US |
| dc.title | A New Fingerprint Image Segmentation Algorithm Based on ROIO | en_US |
| dc.description.seriesinformation | Eurographics Multimedia Workshop | en_US |
