{"title":"基于纹理分析的虹膜验证算法及其DSP实现","authors":"Richard Ng Yew Fatt, Tay Yong Haur, Mok Kai Ming","doi":"10.1109/ICSAP.2009.9","DOIUrl":null,"url":null,"abstract":"This paper presents a Digital Signal Processor (DSP)implementation of the iris verification algorithm. Aninnovative method is presented to extract the iris featuresbased on texture analysis. The algorithm was evaluated usingCASIA iris image database version 1.0 [1]. Experimentalresults show that the approach has achieved high accuracy of98.62%. The iris verification algorithm is designed to suit for DSP implementation. Templates are encoded in binary format because they are compact in size and can avoid the visibility of the individual iris images. The binary templates can be stored and processed effectively using DSP technology. The iris verification system is realized on state-of-the-art Analog Devices ADSP-BF561 to achieve fast verification performance. DSP technology provides a cost effective, low power and fast authentication solution within a compact hardware module.","PeriodicalId":176934,"journal":{"name":"2009 International Conference on Signal Acquisition and Processing","volume":"15 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Iris Verification Algorithm Based on Texture Analysis and its Implementation on DSP\",\"authors\":\"Richard Ng Yew Fatt, Tay Yong Haur, Mok Kai Ming\",\"doi\":\"10.1109/ICSAP.2009.9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a Digital Signal Processor (DSP)implementation of the iris verification algorithm. Aninnovative method is presented to extract the iris featuresbased on texture analysis. The algorithm was evaluated usingCASIA iris image database version 1.0 [1]. Experimentalresults show that the approach has achieved high accuracy of98.62%. The iris verification algorithm is designed to suit for DSP implementation. Templates are encoded in binary format because they are compact in size and can avoid the visibility of the individual iris images. The binary templates can be stored and processed effectively using DSP technology. The iris verification system is realized on state-of-the-art Analog Devices ADSP-BF561 to achieve fast verification performance. DSP technology provides a cost effective, low power and fast authentication solution within a compact hardware module.\",\"PeriodicalId\":176934,\"journal\":{\"name\":\"2009 International Conference on Signal Acquisition and Processing\",\"volume\":\"15 3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-04-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Conference on Signal Acquisition and Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSAP.2009.9\",\"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 Signal Acquisition and Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSAP.2009.9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Iris Verification Algorithm Based on Texture Analysis and its Implementation on DSP
This paper presents a Digital Signal Processor (DSP)implementation of the iris verification algorithm. Aninnovative method is presented to extract the iris featuresbased on texture analysis. The algorithm was evaluated usingCASIA iris image database version 1.0 [1]. Experimentalresults show that the approach has achieved high accuracy of98.62%. The iris verification algorithm is designed to suit for DSP implementation. Templates are encoded in binary format because they are compact in size and can avoid the visibility of the individual iris images. The binary templates can be stored and processed effectively using DSP technology. The iris verification system is realized on state-of-the-art Analog Devices ADSP-BF561 to achieve fast verification performance. DSP technology provides a cost effective, low power and fast authentication solution within a compact hardware module.