OFFLINE SIGNATURE VERIFICATION BY THE ANALYSIS OF CURSIVE STROKES-Reference-Cited by-同舟云学术

OFFLINE SIGNATURE VERIFICATION BY THE ANALYSIS OF CURSIVE STROKES

Published:2001-06 Issue:04 Volume:15 Page:659-673
ISSN:0218-0014
Container-title:International Journal of Pattern Recognition and Artificial Intelligence
language:en
Short-container-title:Int. J. Patt. Recogn. Artif. Intell.

Author:

FANG B.¹,WANG Y. Y.¹,LEUNG C. H.¹,TSE K. W.¹,TANG Y. Y.²,KWOK P. C. K.³,WONG Y. K.⁴

Affiliation:

1. Department of Electrical & Electronic Engineering, The University of Hong Kong, Hong Kong, China

2. Department of Computer Science, Hong Kong Baptist University, Hong Kong, China

3. School of Science & Technology, The Open University of Hong Kong, Hong Kong, China

4. Department of Electrical Engineering, The Hong Kong Polytechnic University, Hong Kong, China

Abstract

In this paper, a method is proposed for offline signature verification. It is based on a smoothness criterion. It is observed that the cursive segments of forgery signatures are generally less smooth and less natural than the genuine ones, especially for those signatures that consist of cursive graphic patterns. Two approaches are proposed to extract a smoothness feature: a crossing method and a fractal dimension method. When the proposed smoothness feature is combined with other global shape features for signature verification, satisfactory results are obtained.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0218001401001052

Reference19 articles.

1. PROGRESS IN VERIFICATION OF SKILLFULLY SIMULATED HANDWRITTEN SIGNATURES

2. FEATURE EXTRACTION AND SELECTION FOR SIMULATED SIGNATURE VERIFICATION

3. Structural description and classification of signature images

4. Segmenting handwritten signatures at their perceptually important points

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