Recognizing a facial image from a police sketch

This paper presents a theory and practical computations for the recognition of a facial image given a police-artist sketch. First, the facial features of the police sketch are located automatically. Then, regions centered at these positions that contain high intensity variations are temporarily removed. Then a standardization step transforms the sketch image into a “photograph-like” image. After this transformation, the high intensity variation regions that were removed are placed back into the standardized image. The resulting image is then passed to the recognition part of our algorithm. In this stage, principle component analysis is performed on both the standardized image to be recognized and the facial images of the training set. Results using actual police sketches and arrest photographs are presented