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In Sparse Representation based Classification (SRC), the construction of the dictionary is very important for the sparse model. The atoms in the dictionary are hoped to be representative and discriminant. In this paper, we propose the face recognition with occlusion via support vector discrimination dictionary and Gabor occlusion dictionary based Sparse Representation Classification (SVGSRC). We apply...
One of the main challenges in face recognition is represented by pose and illumination variations that drastically affect the recognition performance. This paper presents a new approach for face recognition based on Regularized-Labeled Linear Discriminant Analysis (RL-LDA) learning from 3D models. In the training stage, 3D face information is exploited to generate a large number of 2D virtual images...
Existing work of 3D morphable models mainly focuses on 3D face recognition and reconstruction but ignores the ear regions which are usually captured together with the face images. However, ears are almost rigid structures, which are relatively stable to age growth and resist the facial expression variations, making themselves an effective supplement of faces for personal identification. Hence, we...
Research of ear recognition and its application is a new subject in the field of biometrics authentication. As the ear is located at the side face, it is reasonable to combine ear with face for multimodal recognition. In this paper, a Full-space Linear Discriminant Analysis (FSLDA) is applied for recognition with ear images, face images and the combined ear and face images. Experiments are performed...
A novel method of feature-level fusion based on kernel Fisher discriminant analysis (KFDA) is proposed and applied to fusion of ear and profile face biometrics in this paper. Ear recognition is proved to be a new and promising authentication technique. Because of ear's special physiological structure and location, it is reasonable to combine ear with profile face for recognition in such scenarios...
Research of ear recognition and its application is a new subject in the field of biometrics authentication. Ear normalization and alignment is a fundamental module in the ear recognition system. Traditional manually normalization method is not suitable for an automatic recognition system. In this paper, an automatic ear normalization method is proposed based on improved Active Shape Model (ASM). This...
Ear recognition is proved to be a new and promising subject in biometrics authentication. As the ear is located at the side face, it is reasonable to combine ear with face profile for recognition in such scenarios as frontal face images are not available. Face profile is an important aspect of face recognition, it provides a complementary structure of the face that is seen in nonprofile view. In a...
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