Face Sketch-Photo Recognition

نویسنده

  • M. A. A. Silva
چکیده

Automatic systems for matching facial sketch images from the police mug shot database are very important for law enforcement agencies. These systems can help to locate or narrow down potential suspects. In this work, we deal the problem of face recognition through forensic sketches with focus on the Eigentransformation method and Local feature-based discriminant analysis (LFDA). The Eigentrasformation method uses a global linear transformation to synthesize a photo from a sketch, and is sensitive to gross characteristics such as face shape and skin color. While LFDA uses local descriptors, which describe structures in the face that are relevant to face recognition. Keywords-Face Recognition; Matching Photo-Sketch; Forensic Sketches;

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تاریخ انتشار 2013