Face Sketch Recognition

    Face sketch recognition aims at recognizing faces from hand drawn sketches. A typical application of face sketch recognition is in criminal investigation to locate criminals involved. There are several challenges associated with face sketch recognition. The sketches are highly dependent on the artist’s rendering style. It is unlikely for the artists to render all the features correctly, as the sketches are drawn purely based on the descriptions of witnesses or victims. Since a sketch and photo are not really identical, conventional face recognition methods cannot be applied directly to the sketch. We have devised a new methodology for face sketch recognition. The results on CUHK (Chinese University of Hong Kong) student dataset show the effectiveness of our approach in face sketch recognition.

    Results on the CUHK (Chinese University of Hong Kong) student dataset:
    The database has 188 faces [1]. 88 out of this forms the training set and the remaining 100 forms test set. Some sample images from CUHK student dataset are shown in figure 1. Our method is compared with some conventional methods [2]. These results are shown in figure 2.

    Face Recognition Sample Data

    Face Recognition Graph


    1. Ann Theja Alex, Vijayan K. Asari, and Alex Mathew, "Local difference of Gaussian binary pattern: Robust features for face sketch recognition," Proceedings of the IEEE International Conference on Systems, Man and Cybernetics - IEEE SMC 2013 , Manchester, UK, pp. 1211 - 1216, 13-16 October 2013. (IEEE)

    2. Ann Theja Alex, Vijayan K. Asari, and Alex Mathew, "Gradient feature matching for in-plane rotation invariant face sketch recognition," Proceedings of IS&T/SPIE International Conference on Electronic Imaging: Image Processing: Machine Vision Applications VI, San Francisco, CA, USA, vol. 8661, pp. 866107:1-13, 3 - 7 February 2013. (IS&T/SPIE)

    3. Ann Theja Alex, Vijayan K. Asari, and Alex Mathew, "Local alignment of gradient features for face sketch recognition,"Lecture Notes in Computer Science, Published by Springer-Verlag Berlin Heidelberg, Advances in Visual Computing, Edited by G. Bebis et. al., Proceedings of the 8th International Symposium on Visual Computing - ISVC - 2012, Rethymnon, Crete, Greece, vol. 7431/2012, pp. 378-387, 16-18 July 2012. (Springer)

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    Vision Lab, Dr. Vijayan Asari, Director

    Kettering Lab 461-464 
    300 College Park 
    Dayton, Ohio 45469 - 0232