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.