Title :
Multi-Modal Biometrics Involving the Human Ear
Author :
Middendorff, C. ; Bowyer, K.W. ; Ping Yan
Author_Institution :
Univ. of Notre Dame, Notre Dame
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;
Conference_Titel :
Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on
Conference_Location :
Minneapolis, MN
Print_ISBN :
1-4244-1179-3
DOI :
10.1109/CVPR.2007.383521