关键词: 素描人脸识别, 伪素描, Surf算法, 坐标邻域优化

Abstract: The sketch face recognition belongs to the heterogeneous face recognition, and it is the research hot-spot in criminal investigation. According to the characteristics of sketch face recognition, the pseudo sketch transformation is used for the registered image, and the feature points are extracted by using Surf algorithm. Coordinate adjacent area consistency optimization have been proposed to eliminate the feature points of relative position inconsistent, and effective points of pseudo sketch image are calculated to achieve the purpose of recognition. The experiment are tested by using the existing sketch database, and the recognition rate is 99% when 50 feature points are selected. The result can prove that this algorithm is a new effective way in sketch face recognition. This method can be applied in sketch face recognition after optimization.

Key words: sketch face recognition, pseudo sketch, Surf algorithm, coordinate adjacent area consistency optimization