Handwritten signature identification using basic concepts of graph theory

Authors:
Tomislav Fotak;Miroslav Bača;Petra Koruga
Affiliations:
Faculty of Organization and Informatics, Centre for biometrics, University of Zagreb, Varaždin, Croatia;Faculty of Organization and Informatics, Centre for biometrics, University of Zagreb, Varaždin, Croatia;Faculty of Organization and Informatics, Centre for biometrics, University of Zagreb, Varaždin, Croatia
Venue:
WSEAS Transactions on Signal Processing
Year:
2011

Citing 10
Cited 0

Signature identification through the use of deformable structures

Signal Processing - Special issue on deformable models and techniques for image and signal processing
Writer Identification from Gray Level Distribution

ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Writer Identification based on the fractal construction of a reference base

ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
A writer identification system for on-line whiteboard data

Pattern Recognition
Online signature slant feature identification algorithm

WSEAS Transactions on Computer Research
Baseline extraction algorithm for online signature recognition

WSEAS TRANSACTIONS on SYSTEMS
Offline Handwritten Signature Identification and Verification Using Contourlet Transform

SOCPAR '09 Proceedings of the 2009 International Conference of Soft Computing and Pattern Recognition
Angular Contour Parameterization for Signature Identification

Computer Aided Systems Theory - EUROCAST 2009
Rough set approach to online signature identification

Digital Signal Processing
An introduction to biometric recognition

IEEE Transactions on Circuits and Systems for Video Technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

Handwritten signature is being used in various applications on daily basis. The problem arises when someone decides to imitate our signature and steal our identity. Therefore, there is a need for adequate protection of signatures and a need for systems that can, with a great degree of certainty, identify who is the signatory. This paper presents previous work in the field of signature and writer identification to show the historical development of the idea and defines a new promising approach in handwritten signature identification based on some basic concepts of graph theory. This principle can be implemented on both on-line handwritten signature recognition systems and off-line handwritten signature recognition systems. Using graph norm for fast classification (filtration of potential users), followed by comparison of each signature graph concepts value against values stored in database, the system reports 94.25% identification accuracy.