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Content Provider | IEEE Xplore Digital Library |
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Author | Xu Xiaona Zhao Yue Pan Xiuqin |
Copyright Year | 2008 |
Description | Author affiliation: Sch. of Inf. Eng., Central Univ. for Nat., Beijing (Xu Xiaona; Zhao Yue; Pan Xiuqin) |
Abstract | Ear recognition has been proved to be a promising subject in biometrics authentication. The fusion of ear and face biometrics could fully utilize their connection relationship, and possess the merit of recognizing persons without their cooperation because of earpsilas special physiological structure and location. In this paper a feature fusion method based on KPCA is proposed and applied to multimodal recognition fusing ear and profile face. With the method, the associated feature vectors of ear and profile face are established for the following classification. The experimental results show that the method is efficient for feature fusion, and the multimodal recognition based on ear and profile face performs better than ear or profile face unimodal biometric recognition. |
Starting Page | 1 |
Ending Page | 5 |
File Size | 626975 |
Page Count | 5 |
File Format | |
ISBN | 9781424439089 |
DOI | 10.1109/ISSCAA.2008.4776247 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2008-12-10 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Biometrics Partial response channels Stability Face recognition Authentication Humans Ear Feature extraction Kernel Principal component analysis |
Content Type | Text |
Resource Type | Article |
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