{"title":"基于小波的虹膜识别特征提取综述","authors":"Prajakta Balap, S. Khoje, P. Pardeshi","doi":"10.1109/ISCO.2017.7855988","DOIUrl":null,"url":null,"abstract":"Iris Recognition, an evolving biometric identification technique which provides individual authentication based on unique feature or characteristic possessed by the individual. This paper provides general framework and related work in the iris recognition. Iris recognition improves the efficiency of biometric identification. This paper provides a critical review on different wavelet based feature extraction techniques proposed up till now along with efficiency comparison of each technique.","PeriodicalId":321113,"journal":{"name":"2017 11th International Conference on Intelligent Systems and Control (ISCO)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A critical review on wavelet based feature extraction for Iris Recognition\",\"authors\":\"Prajakta Balap, S. Khoje, P. Pardeshi\",\"doi\":\"10.1109/ISCO.2017.7855988\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Iris Recognition, an evolving biometric identification technique which provides individual authentication based on unique feature or characteristic possessed by the individual. This paper provides general framework and related work in the iris recognition. Iris recognition improves the efficiency of biometric identification. This paper provides a critical review on different wavelet based feature extraction techniques proposed up till now along with efficiency comparison of each technique.\",\"PeriodicalId\":321113,\"journal\":{\"name\":\"2017 11th International Conference on Intelligent Systems and Control (ISCO)\",\"volume\":\"58 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 11th International Conference on Intelligent Systems and Control (ISCO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCO.2017.7855988\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 11th International Conference on Intelligent Systems and Control (ISCO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCO.2017.7855988","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A critical review on wavelet based feature extraction for Iris Recognition
Iris Recognition, an evolving biometric identification technique which provides individual authentication based on unique feature or characteristic possessed by the individual. This paper provides general framework and related work in the iris recognition. Iris recognition improves the efficiency of biometric identification. This paper provides a critical review on different wavelet based feature extraction techniques proposed up till now along with efficiency comparison of each technique.
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