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Through the detonative development of web photo sharing websites and social network, enormous amount of pictures are uploaded and shared over the internet. Due to the great success of social web portals and social networks, web users are highly motivated to share their pictures over the internet and that permit other users to tag and comment on the pictures. Huge number of photos are shared over the...
Multimodal biometrics system increase robustness by removing a dependency on one single biometric traits. In recent years, Multimodal biometrics has received large attention in research. Multimodal Biometrics are more secure than unimodal biometric as even if one biometric trait fail other is present. In this paper, we used a combination of face and iris biometric traits. We used Viola Jones algorithms...
In order to extract facial features effectively, a face recognition method is proposed in this article, which combined with gamma transform and gabor transform on the basis of the traditional gabor filter method. First of all, the face images are processed with gamma transform, which can eliminate the effects of light and other nonlinear factors; and then decompose the face images by improved gabor...
The purpose of this paper is to obtain the object. In particular, we focus on the face detection. By using the proposed method, we recognize faces with a near-infrared (NIR) camera. The face detection that used images from the NIR camera is comparatively difficult to be done, because they are gray scale images. In this paper, the filter by using the GA is designed for the purpose of getting the faces...
In this paper, a novel Gabor-2DFisherface approach with selecting 2D Gabor principal components and discriminant vectors is proposed for face recognition. Gabor transform is an important frequency-domain analysis tool. The proposed approach combines it with discriminant analysis technique. This approach first preprocesses all image samples by using Gabor transform, and then calculates 2D Gabor principal...
In this paper, we propose a face recognition approach using circularly symmetrical Gabor transform (CSGT). The traditional Gabor transform is replaced by CSGT. All the face images are transformed by CSGT first and then face recognition is performed in CSGT feature space. Detailed theoretical analysis is presented and simulation results on Yale, AR and ORL face databases are given. The recognition...
In this paper, we present a new feature extraction method for face recognition. The digital curvelet transform is used to extract the face features. In our method, an original image is convolved with 6 Gabor filters corresponding to various orientations and scales to give its Gabor representation, then the ridgelet transform is applied to each Gabor face set. Our experiments were carried on the ORL...
Gabor wavelet is a multi-resolution description. It could extract the gray feature of facial area using amplitude coefficients of Gabor wavelet even when illumination changes. Based on the fact, this paper proposes a face detection method employing BP network combined with Gabor wavelet transform. Sample features are represented by Gabor description for BP network training. First we use standard modules...
Accuracy of statistical face recognition is determined by face's distributed feature. Applying statistical recognition to faces without obvious distributed feature is meaningless. But such faces can be classified by subtle differences between local features. So local feature based face recognition by obtaining local feature and its dimension is proposed in this paper. Experiments show that, the algorithm...
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