{"title":"虹膜识别系统综述","authors":"Sandeep Patil, Shreya Gudasalamani, N. Iyer","doi":"10.1109/ICEEOT.2016.7755084","DOIUrl":null,"url":null,"abstract":"Biometrics recognition is the use of physiological and behavioral traits to identify an individual. Many biometric traits have been developed and are being used to authenticate the person's identity. Iris recognition system are widely used and have been proved to be efficient at individual recognition with high accuracy and nearly perfect matching. The Iris feature of two eyes of same person are not similar making it more secured way of authentication compared to other Biometric recognition systems. This paper provides a review of various methods and algorithms used by authors and their effect on performance of Iris recognition system along with identification of gap for future work. This paper also briefs about the publicly available Iris database for experimenting and researches.","PeriodicalId":383674,"journal":{"name":"2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"25","resultStr":"{\"title\":\"A survey on Iris recognition system\",\"authors\":\"Sandeep Patil, Shreya Gudasalamani, N. Iyer\",\"doi\":\"10.1109/ICEEOT.2016.7755084\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Biometrics recognition is the use of physiological and behavioral traits to identify an individual. Many biometric traits have been developed and are being used to authenticate the person's identity. Iris recognition system are widely used and have been proved to be efficient at individual recognition with high accuracy and nearly perfect matching. The Iris feature of two eyes of same person are not similar making it more secured way of authentication compared to other Biometric recognition systems. This paper provides a review of various methods and algorithms used by authors and their effect on performance of Iris recognition system along with identification of gap for future work. This paper also briefs about the publicly available Iris database for experimenting and researches.\",\"PeriodicalId\":383674,\"journal\":{\"name\":\"2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-03-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"25\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEEOT.2016.7755084\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEEOT.2016.7755084","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Biometrics recognition is the use of physiological and behavioral traits to identify an individual. Many biometric traits have been developed and are being used to authenticate the person's identity. Iris recognition system are widely used and have been proved to be efficient at individual recognition with high accuracy and nearly perfect matching. The Iris feature of two eyes of same person are not similar making it more secured way of authentication compared to other Biometric recognition systems. This paper provides a review of various methods and algorithms used by authors and their effect on performance of Iris recognition system along with identification of gap for future work. This paper also briefs about the publicly available Iris database for experimenting and researches.