CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
Reseach Article

Two Level Centre of Gravity Computation –An Important Parameter for Offline Signature Recognition

by Dipti Verma, Sipi Dubey
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 54 - Number 10
Year of Publication: 2012
Authors: Dipti Verma, Sipi Dubey
10.5120/8599-2363

Dipti Verma, Sipi Dubey . Two Level Centre of Gravity Computation –An Important Parameter for Offline Signature Recognition. International Journal of Computer Applications. 54, 10 ( September 2012), 1-6. DOI=10.5120/8599-2363

@article{ 10.5120/8599-2363,
author = { Dipti Verma, Sipi Dubey },
title = { Two Level Centre of Gravity Computation –An Important Parameter for Offline Signature Recognition },
journal = { International Journal of Computer Applications },
issue_date = { September 2012 },
volume = { 54 },
number = { 10 },
month = { September },
year = { 2012 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume54/number10/8599-2363/ },
doi = { 10.5120/8599-2363 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:55:18.013397+05:30
%A Dipti Verma
%A Sipi Dubey
%T Two Level Centre of Gravity Computation –An Important Parameter for Offline Signature Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 54
%N 10
%P 1-6
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper proposed feature extraction method based on centre of gravity for offline signature. Similar to other biometric measures, signatures have inherent variability and so pose a difficult recognition problem. Signature probably is one of the oldest biometric recognition methods, with high legal acceptance Signature has been a distinguishing feature for person identification through ages. Even today an increasing number of transactions, especially financial, are being authorized via signatures. In this paper, signature is preprocessed through binarization, cutting edges and thinning which provides more accurate platform for feature extraction methods. We have computed centre of gravity in two level by considering centre of gravity of all the characters separately instead of taking one common centre of gravity for entire signature and finally we would be able to built a system for signature recognition by taking mean values of all the centre of gravity values of various characters present in the signature.

References
  1. Z. Riha and V. Matyas, "Biometric Authentication System", FIMU RS-200-08, pp. 4-44, 2000
  2. G. Agam and S. Suresh,"Warping based Offline Signature recognition, "Information Forensics and Security, Vol. 2, no. 3, pp. 430-437, 2007.
  3. F. Z Marcos, "signature recognition state–of–the-art", IEEE A&E SYSTEMS MAGZINE JULY 2005, page: 28-32.
  4. J. wen, B. fang, and T. jhang, "offline signature verification: a new rotation invariant approach", pp 3583-3586.
  5. B. Jayasekara, and A. Jayasiri,L. Udawatta, "An Evolving Signature Recognition System" first International Conference on Industrial and Information Systems, ICIIS 2006, 8 - 11 August 2006, Sri Lanka,pp529-534
  6. J. Zheng, and G. Zhu, "On-Lin Handwriting Signature Recognition Based on Wavelet Energy Feature Matching", proceedings of the 6th World Congress on Intelligent Control and Automation, June 21 - 23, 2006, Dalian, China pp9885-9888.
  7. Dipti verma, pradeep mishra, tapas badal, "A Preprocessing And Feature Extraction Method For Static Signature Recognition Using Hough Transform And Wavelet Analysis" ICCET'10-international conference on computer engineering and technology
  8. T. Pavlidis. "A thinning algorithm for discrete binary images. Computer Graphics and Image Processing", 1980, 13: 142-157.
  9. F. Nouboud and R. Plamondon, "Global Parameters and Curves for Off-Line Signature Verification",Workshop On Frontiers in Handwriting recognition Taiwan, 1994; pp. 145–155
  10. P. Porwik, "The compact three stage method of the signature recognition", proceeding on 6th International conference on computer Information system and Industrial Management applications, 2007.
  11. EdsonJ. R. Justino,F. Bortolozzi,R. Sabourn "Offline Signature Verification Using Hmm For Random, Simple and Skilled Forgeries",Document analysis and recognition. Proceedings of 6th international conference 2001
  12. Maya V. Karki, K. Indira, Dr. S. Sethu Selvi "Offline signature recognition and verification using Neural Network" proceeding of the International Conference on computational Intelligence and Multimedia Application,2007
  13. Suhail M. Odeh and Manal Khalil "Off-line signature verification and recognition: Neural Network Approach "in International Conference On Innovations In Intelligent Systems And Applications (INISTA ) 2011.
Index Terms

Computer Science
Information Sciences

Keywords

Static dynamic signature recognition pre-processing edge detection centre of gravity