Automatic Signature Stability Analysis and Verification Using Local Features

The purpose of writing this paper is two-fold. First, it presents a novel signature stability analysis based on signature's local / part-based features. The Speeded Up Local features (SURF) are used for local analysis which give various clues about the potential areas from whom the features should be exclusively considered while performing signature verification. Second, based on the results of the local stability analysis we present a novel signature verification system and evaluate this system on the publicly available dataset of forensic signature verification competition, 4NSigComp2010, which contains genuine, forged, and disguised signatures. The proposed system achieved an EER of 15%, which is considerably very low when compared against all the participants of the said competition. Furthermore, we also compare the proposed system with some of the earlier reported systems on the said data. The proposed system also outperforms these systems.

[1]  Giuseppe Pirlo,et al.  Analysis of Stability in Static Signatures Using Cosine Similarity , 2012, 2012 International Conference on Frontiers in Handwriting Recognition.

[2]  Marcus Liwicki,et al.  FREAK for Real Time Forensic Signature Verification , 2013, 2013 12th International Conference on Document Analysis and Recognition.

[3]  Giuseppe Pirlo,et al.  Cosine similarity for analysis and verification of static signatures , 2013, IET Biom..

[4]  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).

[5]  Angelo Marcelli,et al.  Disguising writers identification: an experimental study , 2009 .

[6]  Marcus Liwicki,et al.  Part-Based Automatic System in Comparison to Human Experts for Forensic Signature Verification , 2013, 2013 12th International Conference on Document Analysis and Recognition.

[7]  G. Pirlo,et al.  On the measurement of local stability of handwriting: An application to static signature verification , 2010, 2010 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications.

[8]  Réjean Plamondon,et al.  Automatic signature verification and writer identification - the state of the art , 1989, Pattern Recognit..

[9]  Sargur N. Srihari,et al.  On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[10]  Giuseppe Pirlo,et al.  Stability Analysis of Static Signatures for Automatic Signature Verification , 2011, ICIAP.

[11]  Luc Van Gool,et al.  Speeded-Up Robust Features (SURF) , 2008, Comput. Vis. Image Underst..

[12]  Bryan Found,et al.  Forensic handwriting examiners' expertise for signature comparison. , 2002, Journal of forensic sciences.

[13]  Somaya Al-Máadeed,et al.  An Online Signature Verification System for Forgery and Disguise Detection , 2012, ICONIP.

[14]  Marcus Liwicki,et al.  Comparative Study of Part-Based Handwritten Character Recognition Methods , 2011, 2011 International Conference on Document Analysis and Recognition.

[15]  Natasha Gelfand,et al.  SURFTrac: Efficient tracking and continuous object recognition using local feature descriptors , 2009, CVPR.

[16]  Marcus Liwicki,et al.  Evaluation of Local and Global Features for Offline Signature Verification , 2011, AFHA.

[17]  Julian Fierrez,et al.  Off-line Signature Verification Using Contour Features , 2008, ICFHR 2008.

[18]  Umapada Pal,et al.  Off-line signature verification using G-SURF , 2012, 2012 12th International Conference on Intelligent Systems Design and Applications (ISDA).

[19]  Angelo Marcelli,et al.  Exploiting Stability Regions for Online Signature Verification , 2013, ICIAP Workshops.

[20]  Disguised signatures. , 1979, Journal - Forensic Science Society.

[21]  Matthijs C. Dorst.  Distinctive Image Features from Scale-Invariant Keypoints , 2011 .

[22]  Réjean Plamondon,et al.  Handwritten Signature Verification: New Advancements and Open Issues , 2012, 2012 International Conference on Frontiers in Handwriting Recognition.

[23]  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.