LOCAL FEATURES FOR OFF-LINE FORENSIC SIGNATURE VERIFICATION
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[1] Song Wang,et al. Part-based methods for handwritten digit recognition , 2013, Frontiers of Computer Science.
[2] Robert Sablatnig,et al. Writer Retrieval and Writer Identification Using Local Features , 2012, 2012 10th IAPR International Workshop on Document Analysis Systems.
[3] Marcus Liwicki,et al. Comparative Study of Part-Based Handwritten Character Recognition Methods , 2011, 2011 International Conference on Document Analysis and Recognition.
[4] Kanghun Jeong,et al. Object Detection Using FAST Corner Detector Based on Smartphone Platforms , 2011, 2011 First ACIS/JNU International Conference on Computers, Networks, Systems and Industrial Engineering.
[5] Marcus Liwicki,et al. Forensic Signature Verification Competition 4NSigComp2010 - Detection of Simulated and Disguised Signatures , 2010, 2010 12th International Conference on Frontiers in Handwriting Recognition.
[6] Yi Zhou,et al. SSIFT: An Improved SIFT Descriptor for Chinese Character Recognition in Complex Images , 2009, 2009 International Symposium on Computer Network and Multimedia Technology.
[7] Robert Sablatnig,et al. Recognition of Degraded Handwritten Characters Using Local Features , 2009, 2009 10th International Conference on Document Analysis and Recognition.
[8] Lianwen Jin,et al. Character-SIFT: A Novel Feature for Offline Handwritten Chinese Character Recognition , 2009, 2009 10th International Conference on Document Analysis and Recognition.
[9] K. Pulli,et al. SURFTrac: Efficient tracking and continuous object recognition using local feature descriptors , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[10] Angelo Marcelli,et al. Disguising writers identification: an experimental study , 2009 .
[11] Giuseppe Pirlo,et al. Automatic Signature Verification: The State of the Art , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[12] Tom Drummond,et al. Fusing points and lines for high performance tracking , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[13] Samy Bengio,et al. A comparative study of adaptation methods for speaker verification , 2002, INTERSPEECH.
[14] Bryan Found,et al. Forensic handwriting examiners' expertise for signature comparison. , 2002, Journal of forensic sciences.
[15] Horst Bunke,et al. Using a Statistical Language Model to Improve the Performance of an HMM-Based Cursive Handwriting Recognition System , 2001, Int. J. Pattern Recognit. Artif. Intell..
[16] Sargur N. Srihari,et al. On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[17] David G. Lowe,et al. Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[18] Réjean Plamondon,et al. Automatic signature verification and writer identification - the state of the art , 1989, Pattern Recognit..
[19] N. Otsu. A threshold selection method from gray level histograms , 1979 .