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Ear biometric recognition using local texture descriptors

[+] Author Affiliations
Amir Benzaoui

University of May 08th 1945, Laboratory of Inverse Problems, Modeling, Information, and Systems, Department of Electronics and Telecommunications, B.P 401, Guelma 24000, Algeria

Abdenour Hadid

University of Oulu, Center for Machine Vision Research, Department of Computer Science and Engineering, P.O. Box 4500, Oulu 90014, Finland

Abdelhani Boukrouche

University of May 08th 1945, Laboratory of Inverse Problems, Modeling, Information, and Systems, Department of Electronics and Telecommunications, B.P 401, Guelma 24000, Algeria

J. Electron. Imaging. 23(5), 053008 (Sep 19, 2014). doi:10.1117/1.JEI.23.5.053008
History: Received March 19, 2014; Revised August 26, 2014; Accepted August 29, 2014
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Abstract.  Automated personal identification using the shape of the human ear is emerging as an appealing modality in biometric and forensic domains. This is mainly due to the fact that the ear pattern can provide rich and stable information to differentiate and recognize people. In the literature, there are many approaches and descriptors that achieve relatively good results in constrained environments. The recognition performance tends, however, to significantly decrease under illumination variation, pose variation, and partial occlusion. In this work, we investigate the use of local texture descriptors, namely local binary patterns, local phase quantization, and binarized statistical image features for robust human identification from two-dimensional ear imaging. In contrast to global image descriptors which compute features directly from the entire image, local descriptors representing the features in small local image patches have proven to be more effective in real-world conditions. Our extensive experimental results on the benchmarks IIT Delhi-1, IIT Delhi-2, and USTB ear databases show that local texture features in general and BSIF in particular provide a significant performance improvement compared to the state-of-the-art.

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Topics

Databases ; Ear ; Biometrics

Citation

Amir Benzaoui ; Abdenour Hadid and Abdelhani Boukrouche
"Ear biometric recognition using local texture descriptors", J. Electron. Imaging. 23(5), 053008 (Sep 19, 2014). ; http://dx.doi.org/10.1117/1.JEI.23.5.053008


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