{"title":"一种改进ZS细化算法的方法","authors":"Yuanyuan Zhang, Xiaojun Jing, Xiaoyong Wang","doi":"10.1109/ICNIDC.2009.5360858","DOIUrl":null,"url":null,"abstract":"A critical and Indispensable step of an automatic fingerprint identification system (AFIS) is Fingerprint image Thinning. many algorithms have been devised and applied trying to obtain one pixel wide and 8 neighbor connected thinning result. In this paper, a method of improving the thinning result through adding eliminate structure templates is proposed. The ZS algorithm is a parallel thinning algorithm which has fast converge speed, but it also has some problems such as Distortion of the fingerprint ridge, incapability of gaining one-pixel wide skeleton. the proposed improved algorithm will solve the problems without paying extra times, as a result, more effective fingerprint minutiae points could be extracted.","PeriodicalId":127306,"journal":{"name":"2009 IEEE International Conference on Network Infrastructure and Digital Content","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An approach to improve the ZS thinning algorithm\",\"authors\":\"Yuanyuan Zhang, Xiaojun Jing, Xiaoyong Wang\",\"doi\":\"10.1109/ICNIDC.2009.5360858\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A critical and Indispensable step of an automatic fingerprint identification system (AFIS) is Fingerprint image Thinning. many algorithms have been devised and applied trying to obtain one pixel wide and 8 neighbor connected thinning result. In this paper, a method of improving the thinning result through adding eliminate structure templates is proposed. The ZS algorithm is a parallel thinning algorithm which has fast converge speed, but it also has some problems such as Distortion of the fingerprint ridge, incapability of gaining one-pixel wide skeleton. the proposed improved algorithm will solve the problems without paying extra times, as a result, more effective fingerprint minutiae points could be extracted.\",\"PeriodicalId\":127306,\"journal\":{\"name\":\"2009 IEEE International Conference on Network Infrastructure and Digital Content\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE International Conference on Network Infrastructure and Digital Content\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNIDC.2009.5360858\",\"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 IEEE International Conference on Network Infrastructure and Digital Content","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNIDC.2009.5360858","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A critical and Indispensable step of an automatic fingerprint identification system (AFIS) is Fingerprint image Thinning. many algorithms have been devised and applied trying to obtain one pixel wide and 8 neighbor connected thinning result. In this paper, a method of improving the thinning result through adding eliminate structure templates is proposed. The ZS algorithm is a parallel thinning algorithm which has fast converge speed, but it also has some problems such as Distortion of the fingerprint ridge, incapability of gaining one-pixel wide skeleton. the proposed improved algorithm will solve the problems without paying extra times, as a result, more effective fingerprint minutiae points could be extracted.