Face identification has always been a very demanding field for the0researches and its applications may be very helpful for personal verification0and identification. Facial sketches also play an important role in crime investigations. Hence there is a need for the methods or algorithms that matches facial sketches to digital photos. There are different types of algorithms that can be deployed for forensic sketch based face recognition as well as composite sketch recognition. In this paper we compare different algorithms like Weber Local Descriptor (WLD), Multi-scale LBP0operator (MLBP), Tchebichef moments which are used for facial sketch recognition by using Artificial Neural0Network (ANN). Our comparison output shows that composite sketches are matched with higher accuracy rate than forensic sketches.
