{"title":"一种新的指纹图像奇异点检测算法","authors":"Xin-Ming Cheng, Cheng Xu, Dong-Cheng Xu","doi":"10.1109/WGEC.2009.71","DOIUrl":null,"url":null,"abstract":"The singular points of a fingerprint image contain important information, so it is very significant to detect the position, number and type of singular points. The Poincare Index method can’t accurately detect the singular points in arch fingerprints and some tented arch fingerprints. To resolve the problem, we propose an improvement of the Poincare Index method. The experimental results show that our method is better than the Poincare Index method.","PeriodicalId":277950,"journal":{"name":"2009 Third International Conference on Genetic and Evolutionary Computing","volume":"66 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A New Algorithm for Detecting Singular Points in Fingerprint Images\",\"authors\":\"Xin-Ming Cheng, Cheng Xu, Dong-Cheng Xu\",\"doi\":\"10.1109/WGEC.2009.71\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The singular points of a fingerprint image contain important information, so it is very significant to detect the position, number and type of singular points. The Poincare Index method can’t accurately detect the singular points in arch fingerprints and some tented arch fingerprints. To resolve the problem, we propose an improvement of the Poincare Index method. The experimental results show that our method is better than the Poincare Index method.\",\"PeriodicalId\":277950,\"journal\":{\"name\":\"2009 Third International Conference on Genetic and Evolutionary Computing\",\"volume\":\"66 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-10-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Third International Conference on Genetic and Evolutionary Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WGEC.2009.71\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Third International Conference on Genetic and Evolutionary Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WGEC.2009.71","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A New Algorithm for Detecting Singular Points in Fingerprint Images
The singular points of a fingerprint image contain important information, so it is very significant to detect the position, number and type of singular points. The Poincare Index method can’t accurately detect the singular points in arch fingerprints and some tented arch fingerprints. To resolve the problem, we propose an improvement of the Poincare Index method. The experimental results show that our method is better than the Poincare Index method.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
