Abstract
This paper deals with the problem of forensic sketch matching. Research in past decade offered solutions for matching sketches that were drawn while looking at the subject (viewed sketches). In this paper, we emphasize on matching the forensic sketches, which are drawn by specially trained artists in police department based on the description of subject by an eyewitness. Recently, a method for forensic sketch matching using LFDA (Local Feature based Discriminant Analysis) was published. Here, the same problem is addressed using a novel preprocessing technique combined with a local feature descriptor called SURF (Speeded Up Robust Features). In our method, we first preprocess the images using a special preprocessing technique suitable for forensic sketch matching. After the preprocessing, SURF is used to extract features in the form of 64-variable vectors for each image. Then all these vectors of one image are combined to form the SURF descriptor vector for that image. These descriptor vectors are then used for matching. This method was applied to match a dataset of 64 Forensic Sketches against a gallery of 1058 photos. From our experiments, it was observed that our approach of image preprocessing combined with SURF had shown promising results with a good accuracy.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Klare, B., Li, Z., Jain, A.K.: Matching Forensic Sketches to Mug Shot Photos. IEEE Transaction Pattern Analysis and Machine Intelligence, 639–646 (March 2011)
Bay, H., Tuytelaars, T., Van Gool, L.: SURF: Speeded Up Robust Features. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3951, pp. 404–417. Springer, Heidelberg (2006)
Wang, X., Tang, X.: Face Photo-Sketch Synthesis and Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) 31 (2009)
Klare, B., Jain, A.: Sketch to Photo Matching: A Feature-Based Approach. In: Proc. SPIE Conf. Biometric Technology for Human Identification VII (2010)
Tang, X., Wang, X.: Face Sketch Recognition. IEEE Trans. Circuits and Systems for Video Technology 14(1), 50–57 (2004)
Liu, Q., Tang, X., Jin, H., Lu, H., Ma, S.: A Nonlinear Approach for Face Sketch Synthesis and Recognition. In: Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 1005–1010 (2005)
Zhong, J., Gao, X., Tian, C.: Face Sketch Synthesis Using E-HMM and Selective Ensemble. In: Proc. IEEE Conf. Acoustics, Speech and Signal Processing (2007)
Liao, S., Yi, D., Lei, Z., Qin, R., Li, S.: Heterogeneous Face Recognition from Local Structures of Normalized Appearance. In: Proc. Third Int’l Conf. Biometrics (2009)
Lei, Z., Li, S.: Coupled Spectral Regression for Matching Heterogeneous Faces. In: Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 1123–1128 (June 2009)
Klare, B., Jain, A.: Heterogeneous Face Recognition: Matching NIR to Visible Light Images. In: Proc. Int’l Conf. Pattern Recognition (2010)
Ojala, T., Pietikainen, M., Maenpaa, T.: Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns. IEEE Trans. Pattern Analysis and Machine Intelligence 24(7), 971–987 (2002)
Frowd, C., Bruce, V., McIntyr, A., Hancock, P.: The relative importance of external and internal features of facial composites. British Journal of Psychology 98(1), 61–77 (2007)
Klare, B., Zhifeng, L., Jain, A.: On matching forensic sketches to mug shot photos. MSU Technical report (2010)
Du, G., Su, F., Cai, A.: Face recognition using SURF features. In: Proc. of SPIE, vol. 7496, pages 749628–1 (2009)
Gibson, L.: Limited page sample E-book copy of Forensic Art Essentials. Elsevier (2008)
Taylor, K.: Limited page sample E-book copy of Forensic Art and Illustration. CRC Press (2001)
FERET Database. NIST (2001), http://www.itl.nist.gov/iad/humanid/feret/
FaceVACS Software Developer Kit, Cognitec Systems GmbH (2010), http://www.cognitec-systems.de
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer India
About this paper
Cite this paper
Kotha, D.K., Rath, S. (2013). Forensic Sketch Matching Using SURF. In: Kumar M., A., R., S., Kumar, T. (eds) Proceedings of International Conference on Advances in Computing. Advances in Intelligent Systems and Computing, vol 174. Springer, New Delhi. https://doi.org/10.1007/978-81-322-0740-5_64
Download citation
DOI: https://doi.org/10.1007/978-81-322-0740-5_64
Publisher Name: Springer, New Delhi
Print ISBN: 978-81-322-0739-9
Online ISBN: 978-81-322-0740-5
eBook Packages: EngineeringEngineering (R0)