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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 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...
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...
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