Survey on Offline Signature Recognition Techniques

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2016 by IJETT Journal
Volume-36 Number-6
Year of Publication : 2016
Authors : Mandeep Kaur, Sonika jindal
  10.14445/22315381/IJETT-V36P257

MLA 

Mandeep Kaur, Sonika jindal"Survey on Offline Signature Recognition Techniques", International Journal of Engineering Trends and Technology (IJETT), V36(6),309-313 June 2016. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract
Digital Recognition of any individual is an under kind to recognize the people. Human identification utilizing. As signatures are widely accepted bio-metric for authentication and identification of a person because every person has a distinct signature with its specific behavioural property, so it is very much necessary to prove the authenticity of signature itself. A huge increase in forgery cases relative to signatures induced a need of efficient “Signature Verification System”. These systems can be online or offline based on type of input taken by the system. This paper represents a brief review on various approaches used in signature verification systems. In this paper we have purposed a method to enhance the security level in signature recognition and to detect the true and false users. Calculate distance (D) b/n Input sign and among present in database and Threshold.

 References

[1] Handwritten Signature Verification using Instance Based Learning Priya Metri, Ashwinder Kaur Department of Computer Engineering MIT COE , Pune
[2] Madhuri Yadav, Alok Kumar, Tushar Patnaik, Bhupendra Kumar ―A Survey on Offline Signature Verification International Journal of Engineering and Innovative Technology (IJEIT) Volume 2, Issue 7, January 2013
[3] S Pal, M Blumenstein, and U Pal, ―Off-Line Signature Verification Systems: A Survey,” International Conference and Workshop on Emerging Trends in Technology (ICWET 2011), TCET, Mumbai, India 652.
[4] Conos, M. (2006). Recognition of vehicle make from a frontal view. Master, Czech Tech. Univ., Prague, Czech Republic.
[5] Huijbregts, Ordelman, R., and de Jong, F. (2007). Annotation of heterogeneous multi- media content using automatic speech recognition. In Semantic Multimedia, pages78{ 90}.Springer.
[6] Foroutan, I. and Sklansky, J. (1987). Feature selection for automatic classi_cation of non- gaussian data. Systems, Man and Cybernetics, IEEE Transactions on, 17(2):187{198}.
[7] Madhuri Yadav, Alok Kumar, Tushar Patnaik, Bhupendra Kumar,A Survey on Offline Signature Verification International Journal of Engineering and Innovative Technology (IJEIT), Volume 2, Issue 7, January 2013
[8] Sameera Khan1, Avinash Dhole ―Offline Signature Recognition and Verification Techniques International Journal of Advanced Research in Computer and Communication Engineering Vol. 3, Issue 6, June 2014
[9] Hemanta Saikia, Kanak Chandra Sarma, Approaches and Issues in Offline Signature Verification System International Journal of Computer Applications (0975 – 8887)Volume 42– No.16, March 2012.
[10] Yazan M. Al-Omari, Siti Norul Huda Sheikh Abdullah, and Khairuddin Omar, ―State of the art in off-line signature verification,” IEEE, International Conference on Pattern Analysis and Intelligent Robotics, pp. 55-64, Jun 2011.
[11] Tara Thakur#1, Sanjay Yadav. Enhanced Offline Signature Recognition Using Surf and Bayesian Approach International Journal of Research Development & Innovation (IJRDI) Volume 1, Issue 3, May 2015
[12] K.R. Radhika, M.K. Venkatesha and G.N. Sekhar, ―Off-Line Signature Authentication Based on Moment Invariants Using Support Vector Machine, Journal of Computer Science 6 (3): 305- 311, 2010.
[13] Hemanta Saikia, Kanak Chandra Sarma, Approaches and Issues in Offline Signature Verification System International Journal of Computer Applications (0975 – 8887)Volume 42– No.16, March 2012.
[14] K.R. Radhika, M.K. Venkatesha and G.N. Sekhar, ―Off-Line Signature Authentication Based on Moment Invariants Using Support Vector Machine, Journal of Computer Science 6 (3): 305- 311, 2010.
[15] Kanawade M. V., Katariya S. S. ,Review of Offline Signature Verification and Recognition System, International Journal of Emerging Technology and Advanced Engineering,Volume 3, Issue 7, July 2013

Keywords
Signature Recognition, Off-line Signature Recognition and Verification, SVM, SFTA, FAR, FRR.