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Multi-view Ear Shape Feature Extraction and Reconstruction

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2 Author(s)
Heng Liu ; Inst. of Image Process. & Pattern Recognition, Shanghai Jiao Tong Univ., Shanghai ; Jingqi Yan

Due to ear's complex structure, particular position, and preferable stability, ear biometrics has attracted increasingly attention recently. In this paper, we present a new multi-view based ear feature extraction strategy. We utilize not only front view ear image but backside view ear image to extract 2D ear shape four kinds of rich features for ear recognition. In addition, we utilize multi-view ear images to reconstruct 3D ear shape, and a neural network 3D ear registration method is introduced also. Experimental results and comparison analysis show our multi-view based strategy will be a promising approach for ear biometrics.

Published in:

Signal-Image Technologies and Internet-Based System, 2007. SITIS '07. Third International IEEE Conference on

Date of Conference:

16-18 Dec. 2007

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