Jin-Xin Shi, Xiaofeng Gu, Jianping Li, Jie Lin, Lin Liu, Yuan-Yuan Huang
{"title":"一种虹膜图像定位的新方法","authors":"Jin-Xin Shi, Xiaofeng Gu, Jianping Li, Jie Lin, Lin Liu, Yuan-Yuan Huang","doi":"10.1109/ICACIA.2009.5361087","DOIUrl":null,"url":null,"abstract":"At present, the research of biometric recognition is gave more and more attention in the world. The iris recognition is a kind of the biometrics technologies based on the physiological characteristics of human body, compared with the feature recognition based on the fingerprint, palm-print, face and sound etc. the iris recognition technology has recently become popular in identity recognition. In my paper, based on the existing iris location algorithm, an improved iris location algorithm is brought forward. This method can achieve a precise and rapid iris location. In this method, inner circle positioning algorithm is improved by the changed Ostu adaptive binarization thresholding algorithm and the changed gray-scale projection method. And external positioning is completed by Roberts operator.","PeriodicalId":423210,"journal":{"name":"2009 International Conference on Apperceiving Computing and Intelligence Analysis","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"A new method of iris image location research\",\"authors\":\"Jin-Xin Shi, Xiaofeng Gu, Jianping Li, Jie Lin, Lin Liu, Yuan-Yuan Huang\",\"doi\":\"10.1109/ICACIA.2009.5361087\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"At present, the research of biometric recognition is gave more and more attention in the world. The iris recognition is a kind of the biometrics technologies based on the physiological characteristics of human body, compared with the feature recognition based on the fingerprint, palm-print, face and sound etc. the iris recognition technology has recently become popular in identity recognition. In my paper, based on the existing iris location algorithm, an improved iris location algorithm is brought forward. This method can achieve a precise and rapid iris location. In this method, inner circle positioning algorithm is improved by the changed Ostu adaptive binarization thresholding algorithm and the changed gray-scale projection method. And external positioning is completed by Roberts operator.\",\"PeriodicalId\":423210,\"journal\":{\"name\":\"2009 International Conference on Apperceiving Computing and Intelligence Analysis\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Conference on Apperceiving Computing and Intelligence Analysis\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICACIA.2009.5361087\",\"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 International Conference on Apperceiving Computing and Intelligence Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACIA.2009.5361087","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
At present, the research of biometric recognition is gave more and more attention in the world. The iris recognition is a kind of the biometrics technologies based on the physiological characteristics of human body, compared with the feature recognition based on the fingerprint, palm-print, face and sound etc. the iris recognition technology has recently become popular in identity recognition. In my paper, based on the existing iris location algorithm, an improved iris location algorithm is brought forward. This method can achieve a precise and rapid iris location. In this method, inner circle positioning algorithm is improved by the changed Ostu adaptive binarization thresholding algorithm and the changed gray-scale projection method. And external positioning is completed by Roberts operator.