Face Photo Sketch Recognition using Rule Based Fuzzy

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Sandeep Singh
Jasbir Singh

Abstract

In today’s digital era,face recognitionhas found a lot of importance in biometrics technology. Face is an important part of a person which can be used to verify one’s identity.Inforensics science, face sketch recognition is used to identify criminal or suspects. In this paper, an approach has been proposed for face sketch recognition using rule based fuzzy. A forensic sketch is to be matched with mug-shot photos stored in database. The proposed approach converts the original face photos into synthesized sketches to reduce the modality differences between the original photo and the forensic sketch. Faces are extracted from synthesized sketches and features are extracted from these synthesized sketches i.e. the face portion is separated from background and stored in database. Method used for extracting features is blob feature extraction and the extracted features are intensity, area and equivalent diameter of the faces. Features of forensic sketches to be matched are extracted and given to fuzzy rule based approach has been used to find possible matches between forensic sketch and mug-shot photos stored in the database. The possible matches are compared with the forensic sketch using a correlation coefficient to find the best match.

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