Eigen-signature: A robust and an efficient offline signature verification algorithm

An offline signature verification system is proposed in this paper. The proposed model has two stages: preprocessing and eigen-signature construction. In the preprocessing stage, we convert a scanned signature to a shape form and eigen-signature construction is proposed for extracting the feature vector from a shape formed signature. Experiments have been conducted on the newly created Kannada offline signature database to exhibit the performance of the proposed model. A comparative analysis is provided with the recently proposed texture features based offline signature verification system on the publicly available gray signature database to exhibit the performance of the proposed model.

[1]  Madasu Hanmandlu,et al.  Off-line signature verification and forgery detection using fuzzy modeling , 2005, Pattern Recognit..

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

[3]  Hong-Yuan Mark Liao,et al.  Wavelet-Based Off-Line Handwritten Signature Verification , 1999, Comput. Vis. Image Underst..

[4]  Jesús Francisco Vargas-Bonilla,et al.  Off-line signature verification based on grey level information using texture features , 2011, Pattern Recognit..

[5]  Hong Yan,et al.  Off-line signature verification using structural feature correspondence , 2002, Pattern Recognit..

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

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

[8]  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).

[9]  Sebastiano Impedovo,et al.  Recent advancements in automatic signature verification , 2004, Ninth International Workshop on Frontiers in Handwriting Recognition.

[10]  Yuan Yan Tang,et al.  Off-line signature verification by the tracking of feature and stroke positions , 2003, Pattern Recognit..

[11]  A. N. Rajagopalan,et al.  Off-line signature verification using DTW , 2007, Pattern Recognit. Lett..

[12]  Luiz Eduardo Soares de Oliveira,et al.  Reducing forgeries in writer-independent off-line signature verification through ensemble of classifiers , 2010, Pattern Recognit..

[13]  Robert Sabourin,et al.  Off-line signature verification using directional PDF and neural networks , 1992, Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol.II. Conference B: Pattern Recognition Methodology and Systems.

[14]  G. K. Gupta,et al.  Using position extrema points to capture shape in on-line handwritten signature verification , 2007, Pattern Recognit..

[15]  Mohsen Ebrahimi Moghaddam,et al.  Off-Line Persian Signature Identification and Verification Based on Image Registration and Fusion , 2009, J. Multim..

[16]  Y. K. Wong,et al.  A smoothness index based approach for off-line signature verification , 1999, Proceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR '99 (Cat. No.PR00318).

[17]  Inan Güler,et al.  A different approach to off-line handwritten signature verification using the optimal dynamic time warping algorithm , 2008, Digit. Signal Process..

[18]  I. S. I. Abuhaiba,et al.  Offline Signature Verification Using Graph Matching , 2007 .

[19]  Azriel Rosenfeld,et al.  Forgery Detection by Local Correspondence , 2001, Int. J. Pattern Recognit. Artif. Intell..

[20]  Marc Parizeau,et al.  WHAT TYPES OF SCRIPTS CAN BE USED FOR PERSONAL IDENTITY VERIFICATION , 1989 .

[21]  A. Bansal,et al.  Offline Signature Verification Using Critical Region Matching , 2008, 2008 Second International Conference on Future Generation Communication and Networking Symposia.

[22]  Tushar Patnaik,et al.  A Survey on Offline Signature Verification , 2013 .

[23]  M.C. Fairhurst,et al.  Impact of Signature Legibility and Signature Type in Off-Line Signature Verification , 2007, 2007 Biometrics Symposium.

[24]  Kejun Wang,et al.  A survey of off-line signature verification , 2004 .

[25]  Yuan Yan Tang,et al.  Model-based signature verification with rotation invariant features , 2009, Pattern Recognit..