{"title":"Lip's movements biometric authentication in electronic devices","authors":"R. Kotkar Shubhangi, N. Balbhim","doi":"10.1109/ICCMC.2017.8282619","DOIUrl":null,"url":null,"abstract":"System authentication key is very sensitive and important part of today's smart and high technology system. Key contains the biometric information of the human body. Detection of the face, lip and lip movements are taken as the key for the system. In the whole process of authentication different phases are there which includes reading video file, framing, segmentation, removal of noise using median filter, classification of templates using hamming distance, recognition password, etc. Results are taken from offline stored videos. Results need improvement in terms of accuracy.","PeriodicalId":163288,"journal":{"name":"2017 International Conference on Computing Methodologies and Communication (ICCMC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Computing Methodologies and Communication (ICCMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCMC.2017.8282619","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
System authentication key is very sensitive and important part of today's smart and high technology system. Key contains the biometric information of the human body. Detection of the face, lip and lip movements are taken as the key for the system. In the whole process of authentication different phases are there which includes reading video file, framing, segmentation, removal of noise using median filter, classification of templates using hamming distance, recognition password, etc. Results are taken from offline stored videos. Results need improvement in terms of accuracy.