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Guelma, Algeria

Houcine B.,University of Guelma 45 | Hakim D.,University of Guelma 45 | Amir B.,University of Guelma 45 | Hani B.A.,University of Guelma 45
3rd International Conference on Control, Engineering and Information Technology, CEIT 2015 | Year: 2015

This paper proposes a novel image feature representation method, called multi-BOF histogram, for ear recognition. Given an ear image, we at first convolve it with J Gabor filters sharing the same parameters except the parameter of orientation. Then they obtained responses of each pixel at each scale and orientation can get J features. Then, each pixel can be assigned a unique features vector, namely 'multi scale Gabor features vector)'. The classification is based on the image's histogram. Extensive experiments conducted on the Delhi-I database demonstrate the overall superiority of Multi-bags-of-words histogram representation (M-BoF) over the other state-of-the-art ear representation methods evaluated. © 2015 IEEE. Source

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