Off-line signature recognition using morphological pixel variance analysis

Handwritten signatures are one of the oldest biometric traits for human authorization and authentication of documents. Majority of commercial application area deal with static form of signature. In this paper we present a method for off-line signature recognition. We have used morphological dilation on signature template for measurement of the pixel variance and hence the inter class and intra class variations in the signature. The proposed feature extraction mechanism is fast enough so that it can be applied for on-line signature verification also.

[1]  Ben M. Herbst,et al.  Offline Signature Verification Using the Discrete Radon Transform and a Hidden Markov Model , 2004, EURASIP J. Adv. Signal Process..

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

[3]  Miguel Angel Ferrer-Ballester,et al.  Offline geometric parameters for automatic signature verification using fixed-point arithmetic , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[4]  Serestina Viriri,et al.  An off-line signature verification system , 2009, 2009 IEEE International Conference on Signal and Image Processing Applications.

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

[6]  Bai-ling Zhang.  Off-Line Signature Recognition and Verification by Kernel Principal Component Self-Regression , 2006, 2006 5th International Conference on Machine Learning and Applications (ICMLA'06).

[7]  Kosin Chamnongthai,et al.  Off-line signature recognition using parameterized Hough transform , 1999, ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359).

[8]  Ruowei Zhou,et al.  An automatic fuzzy neural network driven signature verification system , 1996, Proceedings of International Conference on Neural Networks (ICNN'96).

[9]  Abdenaim El Yacoubi,et al.  An off-line signature verification system using hidden Markov model and cross-validation , 2000, Proceedings 13th Brazilian Symposium on Computer Graphics and Image Processing (Cat. No.PR00878).

[10]  Indra Dwi Putra.  Signature Identification Using Probabilistic Neural Networks (PNN) With Wavelet Transformation Praprocessing. , 2009 .

[11]  Samuel Audet,et al.  Offline Signature Verification Using Virtual Support Vector Machines , 2006 .

[12]  Flávio Bortolozzi,et al.  Off-line signature verification using HMM for random, simple and skilled forgeries , 2001, Proceedings of Sixth International Conference on Document Analysis and Recognition.

[13]  Banshider Majhi,et al.  Novel Features for Off-line Signature Verification , 2006, Int. J. Comput. Commun. Control.

[14]  Siyuan Chen,et al.  Machine Learning for Signature Verification , 2006, ICVGIP.

[15]  Alessandro Zimmer,et al.  A hybrid on/off line handwritten signature verification system , 2003, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings..

[16]  Sukhan Lee,et al.  Offline tracing and representation of signatures , 1992, IEEE Trans. Syst. Man Cybern..

[17]  Abdullah I. Al-Shoshan,et al.  Handwritten Signature Verification Using Image Invariants and Dynamic Features , 2006, International Conference on Computer Graphics, Imaging and Visualisation (CGIV'06).

[18]  Haris Baltzakis,et al.  A new signature verification technique based on a two-stage neural network classifier , 2001 .

[19]  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).

[20]  G. G. Stokes.  "J." , 1890, The New Yale Book of Quotations.

[21]  Sargur N. Srihari,et al.  Offline Signature Verification And Identification Using Distance Statistics , 2004, Int. J. Pattern Recognit. Artif. Intell..

[22]  Yoshiki Uchikawa,et al.  Constructing a high performance signature verification system using a GA method , 1995, Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems.

[23]  F. Prêteux,et al.  Off-line signature verification by local granulometric size distributions , 1997 .

[24]  V A Bharadi,et al.  Signature Recognition using Cluster Based Global Features , 2009, 2009 IEEE International Advance Computing Conference.

[25]  Flávio Bortolozzi,et al.  The interpersonal and intrapersonal variability influences on off-line signature verification using HMM , 2002, Proceedings. XV Brazilian Symposium on Computer Graphics and Image Processing.

[26]  Vallipuram Muthukkumarasamy,et al.  Off-line Signature Verification based on the Modified Direction Feature , 2006, 18th International Conference on Pattern Recognition (ICPR'06).

[27]  Y. K. Wong,et al.  Offline signature verification with generated training samples , 2002 .

[28]  Réjean Plamondon,et al.  The Design of An On-Line Signature Verification System: From Theory to Practice , 1994, Int. J. Pattern Recognit. Artif. Intell..

[29]  Arun Ross,et al.  An introduction to biometric recognition , 2004, IEEE Transactions on Circuits and Systems for Video Technology.

[30]  Anil K. Jain,et al.  On-line signature verification, , 2002, Pattern Recognit..