Forensic Photo Sketch Matching Using Feature Texture Analysis

Abstract

Face recognition is considered one of the most essential applications of biometrics for person
identification. Face sketch recognition is a special case of face recognition, and it is very important for forensic
applications. In this project we propose an generalise method for face photo-sketch recognition by generalising a
pseudo-sketch from a single photo .The proposed method is the first generalise method that deals with face sketch
recognition. In the recognition step, the artist sketch is compared with the generated pseudo-sketch. MLBP are used
to extract features from the sketch images. The k-nearest neighbor classifier with standaraize euclidean distance is
used in the classification step. Results for the synthesised sketches will be compared with state-of-the-art methods .Our
proposed method will generates clear synthesis sketch and it defines persons more accurate than other methods.