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.
To predict criminal acts and to assure more security, the biometric remote recognition of people has lately been getting much interest among researchers. We propose in this paper to use biometric modalities that may be acquired remotely, which are the gait and the face. The gait is explored at 11 different angles of view with different styles of clothes using the CASIA Gait Datasets A and B. For the...
In this paper we propose a new approach for watermarking biometric fingerprint images using Gabor direct linear discriminant analysis face features. Our goal is to incorporate a watermark in the best embedding domain that preserves minutiae, which are the most relevant proven features of a fingerprint. We conducted a comprehensive study based on the influence of the watermark embedding domain choice...
In this work, we are interested in exploring soft biometrics to identify people at a distance without recourse to their cooperation. The proposed system is based on fusing two soft modalities of the face, which are the skin and hair colors, and six soft modalities of the body — one for the height, four for the body measurements, and one for gait cycle. Tested on a Chimera database of faces and video...
We present in this paper a new approach for human-action extraction and recognition in a multi-modal context. Our solution contains two modules. The first one applies temporal action segmentation by combining a heuristic analysis with augmented-joint description and SVM classification. The second one aims for a frame-wise action recognition using skeletal, RGB and depth modalities coupled with a label-grouping...
In this paper, we propose a new approach based on watermarking for fusing biometric modalities. The main idea of the proposed approach is to use the watermark both for security purpose and as an additional information related to the person, therefore increasing the personal data used for verification. The host image of the face is watermarked in the multi-resolution space by the palmprint using a...
We propose in this paper a watermarking algorithm of an avatar's face for securing the access into virtual worlds. The approach is based on embedding a fingerprint signature into the ordered-facet-vertex rings extracted from the avatar face. The watermark is a sequence of 128 bits representing the biometric authentication of the avatar property. This mark in embedded in the spatial domain by ordering...
In this work we are interested in soft facial biometrics, a new field that aims at strengthening the performance of primary biometric systems based on traditional ways of biological type (DNA, saliva), morphological (face, iris, fingerprint) or behavioral (signature, handwriting, voice). We propose three types of facial soft biometrics: facial measurements, skin color and hair color. The results show...
This paper presents a solution capable of recognizing the facial expressions performed by a person's face and mapping them to a 3D face virtual model using the depth and RGB data captured from Microsoft's Kinect sensor. This solution starts by detecting the face and segmenting its regions, then, it identifies the actual expression using EigenFaces metrics on the RGB images and reconstructs the face...
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.