An approach to improve accuracy of photo–to–sketch matching

Abstract

The problem of automatically matching sketches to facial photos is discussed. The idea presented is based on generating a population of sketches which imitates sketches generated from verbal descriptions provided by a virtual group of witnesses in forensic practice. Structures of benchmark photo–sketch databases are presented that are intended to model and implement a face photo retrieval by a given sketch. A new component of these databases is a population of sketches that represents each separate class of original photos. In this case, the original sketch is transformed into such population and then within this population we find a sketch that is similar to the given sketch. We demonstrate results of experiments based on proposed methods for photo to sketch matching on CUFS and CUFSF databases.