DocumentCode
3022685
Title
Multi-Modal Biometrics Involving the Human Ear
Author
Middendorff, C. ; Bowyer, K.W. ; Ping Yan
Author_Institution
Univ. of Notre Dame, Notre Dame
fYear
2007
fDate
17-22 June 2007
Firstpage
1
Lastpage
2
Abstract
Due to its semi-rigid shape and robustness against change over time, the ear has become an increasingly popular biometric feature. It has been shown that combining individual biometric methods into multi-biometric systems improves recognition. What features should be used, how they should be captured, what algorithms should be used, and how they should be combined are all open questions. In this paper, we discuss several existing methods of combination and the recognition rates of each.
Keywords
biometrics (access control); ear; feature extraction; image recognition; human ear; multibiometric systems; multimodal biometrics; recognition rates; Biometrics; Ear; Face recognition; Humans; Image recognition; Neural networks; Principal component analysis; Robustness; Shape; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on
Conference_Location
Minneapolis, MN
ISSN
1063-6919
Print_ISBN
1-4244-1179-3
Type
conf
DOI
10.1109/CVPR.2007.383521
Filename
4270519
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