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| Because of containing enough texture information around base point, Local Binary Pattern features and Gabor features shows excellent performance under batch light varying and rotation. However, the complicated calculation and feature’s high dimension are the biggest restriction in application. Therefore, in this paper we proposed a novel method called Binary Gabor Codes based on above two methods. The key idea is calculating local binary patterns on the corresponding Gabor Magnitude Pictures (GMPs), the calculation and dimension are both decreased. Because of containing both information of local texture and block gray varying, BGC features are more overwhelming comparing with Local Binary Patterns (LBP), Gabor jets and independent component features. What’s more, Experimental results show that it has improved the recognition rate greatly, especially in bad condition. |
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| Keywords:Pattern Recognition, Gabor Jets; Local Binary Patterns; Face recognition |
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