2011 IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM)最新文献

筛选
英文 中文
Comparison of face image quality metrics: Electronic and legacy mug shots 面部图像质量指标的比较:电子和传统的大头照
Kevin O'Connor, G. Hales, Jonathan Hight, S. Modi, S. Elliott
{"title":"Comparison of face image quality metrics: Electronic and legacy mug shots","authors":"Kevin O'Connor, G. Hales, Jonathan Hight, S. Modi, S. Elliott","doi":"10.1109/CIBIM.2011.5949219","DOIUrl":"https://doi.org/10.1109/CIBIM.2011.5949219","url":null,"abstract":"Automated face recognition offers an effective method for identifying individuals. Face images have been used in a number of different applications, including driver's licenses, passports and identification cards. To provide some form of standardization for photographs in these applications, ISO / IEC JTC 1 SC 37 have developed standardized data interchange formats to promote interoperability. There are many different publically available face databases available to the research community that are used to advance the field of face recognition algorithms, amongst other uses. In this paper, we examine how an existing database that has been used extensively in research (FERET) compares with two operational data sets with respect to some of the metrics outlined in the standard ISO / IEC 19794-5. The goals of this research are to provide the community with a comparison of a baseline data set and to compare this baseline to a photographic data set that has been scanned in from mug-shot photographs, as well as a data set of digitally captured photographs. It is hoped that this information will provide Face Recognition System (FRS) developers some guidance on the characteristics of operationally collected data sets versus a controlled-collection database.","PeriodicalId":396721,"journal":{"name":"2011 IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128980699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Hybrid GAs for Eigen-based facial recognition 基于特征的人脸识别混合气体
Tamirat T. Abegaz, G. Dozier, Kelvin S. Bryant, Joshua Adams, Khary Popplewell, Joseph Shelton, K. Ricanek, D. Woodard
{"title":"Hybrid GAs for Eigen-based facial recognition","authors":"Tamirat T. Abegaz, G. Dozier, Kelvin S. Bryant, Joshua Adams, Khary Popplewell, Joseph Shelton, K. Ricanek, D. Woodard","doi":"10.1109/CIBIM.2011.5949209","DOIUrl":"https://doi.org/10.1109/CIBIM.2011.5949209","url":null,"abstract":"In this paper, we have performed an evaluation of genetic-based feature selection and weighting on the PCA-based face recognition. This work highlights the first attempt of applying Genetic Algorithm (GA) based feature selection on the Eigenface method. The results show that genetic-based feature selection reduces the number of features needed by approximately 50% while improving the identification accuracy over the baseline. Genetic-based feature weighting significantly improves the accuracy from an 87.14% to a 92.5% correct recognition rate.","PeriodicalId":396721,"journal":{"name":"2011 IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131816831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 19
GEFeS: Genetic & evolutionary feature selection for periocular biometric recognition GEFeS:眼周生物识别的遗传和进化特征选择
G. Dozier, Kamilah Purrington, Khary Popplewell, Joseph Shelton, Tamirat T. Abegaz, Kelvin S. Bryant, Joshua Adams, D. Woodard, Philip E. Miller
{"title":"GEFeS: Genetic & evolutionary feature selection for periocular biometric recognition","authors":"G. Dozier, Kamilah Purrington, Khary Popplewell, Joseph Shelton, Tamirat T. Abegaz, Kelvin S. Bryant, Joshua Adams, D. Woodard, Philip E. Miller","doi":"10.1109/CIBIM.2011.5949211","DOIUrl":"https://doi.org/10.1109/CIBIM.2011.5949211","url":null,"abstract":"In this paper, we introduce the concept of genetic & evolutionary feature selection (GEFeS) for periocular biometric recognition. Our results show that GEFeS dramatically reduces the number of features needed for periocular recognition as well as increases recognition accuracy.","PeriodicalId":396721,"journal":{"name":"2011 IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125803927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 15
Consent biometrics 同意生物识别技术
Kai Yang, Yingzi Du
{"title":"Consent biometrics","authors":"Kai Yang, Yingzi Du","doi":"10.1109/CIBIM.2011.5949207","DOIUrl":"https://doi.org/10.1109/CIBIM.2011.5949207","url":null,"abstract":"Biometrics identifies/verifies a person using his/her physiological or behavioral characteristics. It is becoming an important ally for law enforcement and homeland security. However, there are some safety and privacy concerns: biometrics guarded system can be accessed when users are under threat, reluctant or even unconscious states. For future consumer biometric applications (such as biometric ATM machines or biometric credit cards), the biggest concern is user safety: criminals may intimidate or even hurt users to get into their accounts. In this paper, we propose a new concept, Consent Biometrics, which incorporates a consent signature into biometric systems. We introduce two schemes that can realize the Consent Biometrics idea and an example design for consent iris recognition. The proposed consent biometrics can not only detect the willingness of users, but also improve recognition accuracy.","PeriodicalId":396721,"journal":{"name":"2011 IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121800450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 14
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信