{"title":"低质量指纹图像的分割","authors":"H. Fleyeh, D. Jomaa, M. Dougherty","doi":"10.1109/MCIT.2010.5444844","DOIUrl":null,"url":null,"abstract":"This paper presents a new algorithm to segment fingerprint images. The algorithm uses four features, the global mean, the local mean, variance and coherence of the image to achieve the fingerprint segmentation. Based on these features, a rule based system is built to segment the image.","PeriodicalId":285648,"journal":{"name":"2010 International Conference on Multimedia Computing and Information Technology (MCIT)","volume":"178 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"30","resultStr":"{\"title\":\"Segmentation of low quality fingerprint images\",\"authors\":\"H. Fleyeh, D. Jomaa, M. Dougherty\",\"doi\":\"10.1109/MCIT.2010.5444844\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a new algorithm to segment fingerprint images. The algorithm uses four features, the global mean, the local mean, variance and coherence of the image to achieve the fingerprint segmentation. Based on these features, a rule based system is built to segment the image.\",\"PeriodicalId\":285648,\"journal\":{\"name\":\"2010 International Conference on Multimedia Computing and Information Technology (MCIT)\",\"volume\":\"178 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-03-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"30\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Multimedia Computing and Information Technology (MCIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MCIT.2010.5444844\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Multimedia Computing and Information Technology (MCIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MCIT.2010.5444844","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper presents a new algorithm to segment fingerprint images. The algorithm uses four features, the global mean, the local mean, variance and coherence of the image to achieve the fingerprint segmentation. Based on these features, a rule based system is built to segment the image.
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