Off-Line Signature Recognition Systems

Handwritten signature is one of the most widely used biometric traits for authentication of person as well as document. In this paper we discuss issues regarding off-line signature recognitions. We review existing techniques, their performance and method for feature extraction. We discuss a system designed using cluster based global features which is a multi algorithmic offline signature recognition system.

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

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

[3]  Tatsuro Ito,et al.  Automatic signature verification based on the dynamic feature of pressure , 2001, Proceedings of Sixth International Conference on Document Analysis and Recognition.

[4]  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.

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

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

[7]  Hidetoshi Miike,et al.  An off-line signature verification system using an extracted displacement function , 2002, Pattern Recognit. Lett..

[8]  Teruo Fukumura,et al.  Structural description and classification of signature images , 1990, Pattern Recognit..

[9]  D. J. Hamilton,et al.  Low cost dynamic signature verification system , 1995 .

[10]  H. Baltzakisa,et al.  A new signature verification technique based on a two-stage neural network classifier , 2000 .

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

[12]  Hamid R. Rabiee,et al.  A new online signature verification algorithm using variable length segmentation and hidden Markov models , 2003, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings..

[13]  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).

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

[15]  Georgy Kukharev,et al.  IMAGE ANALYSIS AND PATTERN RECOGNITION IN BIOMETRIC TECHNOLOGIES , 2001 .

[16]  Madasu Hanmandlu,et al.  Parameter determination for a generalized fuzzy model , 2005, Soft Comput..

[17]  Maan Ammar,et al.  Progress in Verification of Skillfully Simulated Handwritten Signatures , 1991, Int. J. Pattern Recognit. Artif. Intell..

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

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

[20]  Vishvjit S. Nalwa,et al.  Automatic On-line Signature Verification , 1997 .

[21]  Jinho Kim,et al.  On-line signature verification using model-guided segmentation and discriminative feature selection for skilled forgeries , 2001, Proceedings of Sixth International Conference on Document Analysis and Recognition.

[22]  Venu Govindaraju,et al.  ER2: an intuitive similarity measure for on-line signature verification , 2004, IWFHR.

[23]  Jamal Fathi Abu Hasna.  Signature Recognition using Conjugate Gradient Neural Networks , 2006, JCIS.

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

[25]  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).

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

[27]  Marco Furini,et al.  International Journal of Computer and Applications , 2010 .

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

[29]  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).

[30]  R. Palaniappan,et al.  Signature Verification System using Pen Pressure for Internet and E-Commerce Application , 2001 .

[31]  L. Spaanenburg,et al.  Implementing a DSP Kernel for Online Dynamic Handwritten Signature Verification Using the TMS320 DSP Family , 1995 .

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

[33]  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.

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

[35]  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.

[36]  Flávio Bortolozzi,et al.  An Off-Line Signature Verification System Using HMM and Graphometric Features , 2001 .

[37]  Bobby R. Hunt,et al.  A multiresolution approach to computer verification of handwritten signatures , 1995, IEEE Trans. Image Process..

[38]  Marimuthu Palaniswami,et al.  Signature Identification using Neural Networks , 1991, TENCON '91. Region 10 International Conference on EC3-Energy, Computer, Communication and Control Systems.

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

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

[41]  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.

[42]  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).