Result: Wavelet thinning algorithm based similarity evaluation for offline signature verification

Title:
Wavelet thinning algorithm based similarity evaluation for offline signature verification
Authors:
BIN FANG, CHEN, Wen-Sheng, XINGE YOU, ZHANG, Tai-Ping, JING WEN, YUAN YAN TANG
Source:
Intelligent computing in signal processing and pattern recognition (International Conference on Intelligent Computing, ICIC 2006, Kunming, China, August 16-19, 2006)0ICIC 2006. :547-555
Publisher Information:
Berlin: Springer, 2006.
Publication Year:
2006
Physical Description:
print, 15 ref 1
Original Material:
INIST-CNRS
Subject Terms:
Control theory, operational research, Automatique, recherche opérationnelle, Documentation, Computer science, Informatique, Telecommunications, Télécommunications, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Intelligence artificielle, Artificial intelligence, Reconnaissance des formes. Traitement numérique des images. Géométrie algorithmique, Pattern recognition. Digital image processing. Computational geometry, Alignement, Alignment, Alineamiento, Caractère manuscrit, Manuscript character, Carácter manuscrito, Classification forme, Pattern classification, Intelligence artificielle, Artificial intelligence, Inteligencia artificial, Modélisation, Modeling, Modelización, Métrique, Metric, Métrico, Raisonnement basé sur cas, Case based reasoning, Razonamiento fundado sobre caso, Reconnaissance caractère, Character recognition, Reconocimiento carácter, Signature, Signing, Firma, Similitude, Similarity, Similitud, Squelette, Skeleton, Esqueleto, Théorie euclidienne, Euclidean theory, Teoría euclidiana, Transformation ondelette, Wavelet transformation, Transformación ondita
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
College of Computer Science Chongqing University, Chongqing, 400030, China
Department of Mathematics Shenzhen University, Shenzhen, 518060, China
ISSN:
0170-8643
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=18315872
Rights:
Copyright 2006 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.18315872
Database:
PASCAL Archive

Further Information

Structure distortion evaluation is able to allow us directly measure similarity between signature patterns without classification using feature vectors which usually suffers from limited training samples. In this paper, we incorporate merits of both global and local alignment algorithms to define structure distortion using signature skeletons identified by a robust wavelet thinning technique. A weak affine model is employed to globally register two signature skeletons and structure distortion between two signature patterns are determined by applying an elastic local alignment algorithm. Similarity measurement is evaluated in the form of Euclidean distance of all found corresponding feature points. Experimental results showed that the proposed similarity measurement was able to provide sufficient discriminatory information in terms of equal error rate being 18.6% with four training samples.