Abstract
Face Sketch recognition has been one of the most studied topics in Forensic literature. The automatic retrieval of suspect photos from the mug-shot police data-base can help them, quickly reduce and deduct potential suspects, but in most cases, the photographic image of a suspect is not available. The best substitute is often sketch based on the memory of an eyewitness or a victim. Generally, this process is slow and really not effective, it does not allow to find and arrest the right suspect. So, a stronger algorithm for even partial face sketch recognition can be useful. Although many methods have been proposed in this scenario, especially the techniques that are applied to face recognition system and ranked among the perfect and most effective. The main objective of this paper is to presents a review of recent and different researches on recognizing face sketches. We wrote this work to discover and analyze multiple researches on face sketch recognition. We wrote it to review the different classes of approaches, of datasets and evaluation protocols used, by analyzing their kernels and identifying their limitations.
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