{"title":"基于Kekre小波能量熵特征向量的掌纹识别","authors":"H. B. Kekre, V. Bharadi, V. Singh, A. Ambardekar","doi":"10.1145/1980022.1980031","DOIUrl":null,"url":null,"abstract":"Palmprints are one of the oldest biometric traits used by mankind. It is highly universal and moderate user co-operation is required in implemented system. Palmprints are rich in texture information which can be used classification purpose. Wavelets are very good in extracting localized texture information. In this paper a new and faster type of wavelets called kekre's wavelets are used for extracting feature vector from palmprints. Multilevel decomposition is performed and feature vectors are matched using Euclidian distance and Relative Energy Entropy. The results indicate that kekre's wavelets are viable option for extracting texture information from palmprints and provide good accuracy with faster performance.","PeriodicalId":197580,"journal":{"name":"International Conference & Workshop on Emerging Trends in Technology","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Palmprint recognition using Kekre's wavelet's energy entropy based feature vector\",\"authors\":\"H. B. Kekre, V. Bharadi, V. Singh, A. Ambardekar\",\"doi\":\"10.1145/1980022.1980031\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Palmprints are one of the oldest biometric traits used by mankind. It is highly universal and moderate user co-operation is required in implemented system. Palmprints are rich in texture information which can be used classification purpose. Wavelets are very good in extracting localized texture information. In this paper a new and faster type of wavelets called kekre's wavelets are used for extracting feature vector from palmprints. Multilevel decomposition is performed and feature vectors are matched using Euclidian distance and Relative Energy Entropy. The results indicate that kekre's wavelets are viable option for extracting texture information from palmprints and provide good accuracy with faster performance.\",\"PeriodicalId\":197580,\"journal\":{\"name\":\"International Conference & Workshop on Emerging Trends in Technology\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-02-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference & Workshop on Emerging Trends in Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1980022.1980031\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference & Workshop on Emerging Trends in Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1980022.1980031","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Palmprint recognition using Kekre's wavelet's energy entropy based feature vector
Palmprints are one of the oldest biometric traits used by mankind. It is highly universal and moderate user co-operation is required in implemented system. Palmprints are rich in texture information which can be used classification purpose. Wavelets are very good in extracting localized texture information. In this paper a new and faster type of wavelets called kekre's wavelets are used for extracting feature vector from palmprints. Multilevel decomposition is performed and feature vectors are matched using Euclidian distance and Relative Energy Entropy. The results indicate that kekre's wavelets are viable option for extracting texture information from palmprints and provide good accuracy with faster performance.