An off-line signature verification system using an extracted displacement function

Authors:
Yoshiki Mizukami;Mitsu Yoshimura;Hidetoshi Miike;Isao Yoshimura
Affiliations:
Faculty of Engineering, Yamaguchi University, 2-16-1 Tokiwadai, 755-8611 Ube, Japan;Faculty of Engineering, Yamaguchi University, 2-16-1 Tokiwadai, 755-8611 Ube, Japan;Faculty of Engineering, Yamaguchi University, 2-16-1 Tokiwadai, 755-8611 Ube, Japan;Faculty of Engineering, Yamaguchi University, 2-16-1 Tokiwadai, 755-8611 Ube, Japan
Venue:
Pattern Recognition Letters
Year:
2002

Citing 6
Cited 7

Computational vision and regularization theory

Nature
Computation of stereo disparity using regularization

Pattern Recognition Letters
A handwritten Chinese character recognition system using hierarchical displacement extraction based on directional features

Pattern Recognition Letters
A comparison study for displacement computation—Horn and Shunck's method versus March's method

Pattern Recognition Letters
An Off-Line Signature Verification System Using an Extracted Displacement Function

ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
A Handwritten Character Recognition System Using Hierarchical Displacement Extraction Algorithm

ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276

Off-line Chinese signature verification based on support vector machines

Pattern Recognition Letters
Off-line signature verification using DTW

Pattern Recognition Letters
Offline signature verification using the discrete radon transform and a hidden Markov model

EURASIP Journal on Applied Signal Processing
Fuzzy shape-memory snakes for the automatic off-line signature verification problem

Fuzzy Sets and Systems
Snake models for offline signature verification: a comparative study

International Journal of Innovative Computing and Applications
Off-line signature verification and forgery detection using fuzzy modeling

Pattern Recognition
Comparing elastic alignment algorithms for the off-line signature verification problem

IWINAC'11 Proceedings of the 4th international conference on Interplay between natural and artificial computation: new challenges on bioinspired applications - Volume Part II

Quantified Score

Hi-index	0.10

Visualization

Abstract

This paper proposes an off-line signature verification system based on a displacement extraction method. The optimum displacement functions are extracted for any pair of signatures using minimization of a functional. The functional is defined as the sum of the squared Euclidean distance between two signatures and a penalty term requiring smoothness of the displacement function. A coarse-to-fine search method is applied to prevent the calculation from stopping at local minima. Based on the obtained displacement function, the dissimilarity between a questionable signature and the corresponding authentic one is measured. The proposed system achieved error rate of 24.9% in a experiment.