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A comparative study on face recognition based on two methods, SVM of One-against-One method and SVM of One-against-Rest method, has been carried out in this paper. Our method consists of three parts: Firstly, the image robustness on illumination and posture has been improved by the processing of the Gabor wavelet. Secondly, the bilateral 2DLDA technique on image is adopted to realize the dimension...
A improved face recognition method based on the large samples was proposed in the paper. The face and the eyes were detected using the Adaboost algorithm; And according to the distance and angle of the eyes, the accurate face could be gotten. For improving the robustness of face recognition against illumination, the face image was processed by the Retinex theory. The face feature was extracted using...
A new approach is proposed to improve face recognition in the paper. The accurate face is detected by the position relation of the face and the eyes. The face features are extracted using the Gabor wavelet and the Adaboost algorithm is used to detect the face and the eyes. In the actual detection of the face, the face is probably inclining, and then we correct the detected face according to the positions...
A improved face recognition method based on the large samples was proposed in the paper. The face and the eyes were detected using the Adaboost algorithm; and according to the distance and angle of the eyes, the accurate face could be gotten. For improving the robustness of face recognition against illumination, the face image was processed by the Retinex theory. The face feature was extracted using...
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