The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper summarizes the recent development of illumination compensation for face recognition. Then a new method is proposed by extracting illumination invariant features in contourlet transform domain based on human visual perception mechanism. The experimental results on Yale B and CMU PIE face databases demonstrate that it is effective and competitive.
Given uncertain status reports or notes come from multi-sensor, identity fusion further makes them integrate information and jointly determine the observed entities. This paper discusses an improved data fusion approach to multi-biometric feature, including face, fingerprint and iris image. The approach is called improved multiple biometric data fusion algorithm, based on the eigen-face and the Gabor...
The single biometric identification technology has the inherent and difficult overcoming shortcomings, so multi-modal biometric fusion and identification techniques were proposed to improve the performance and accurate rate of identification system. This paper proposed a model combined with 2-dimensional Fisher linear discriminant analysis for face and iris feature fusion and recognition. First face...
Obtaining invariant representation of time varying signals is one of the major problems in object recognition. Recently, a new method that slowly feature analysis (SFA) which can extract invariant features of temporally varying signals is being explored, which is an extension of independent component analysis (ICA) which has been used for extracting facial feature. The technique of SFA can be extended...
In this paper, we introduce a face recognition approach based on the contourlet transform and support vector machine, which takes technological advantages of both support vector machine and the contourlet transform for feature extraction. The contributions of this paper include the following aspects: (1) support vector machine is successfully applied to face recognition by using the contourlet transform...
Digital Rights Management (DRM) system is the effective schemes for digital transactions. A novel authentication scheme of the DRM system based on multimodal biometric verification and watermarking technique is described in this paper, which is based on highly secure iris recognition and face recognition and their feature fusion recognition is described, which is can achieve the rights management...
The paper first gives a method for removing the thousands of noisy points by using neighborhood centroid constrained fairing algorithm. And then, uses the 3D point clouds to reconstruct the face surface. At last, we could extract the facial feature.
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.