Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/24271
Title: Off-line signature verification by the tracking of feature and stroke positions
Authors: Fang, B
Leung, CH
Tang, YY
Tse, KW
Kwok, PCK
Wong, YK
Keywords: Elastic matching
Feature tracking
Handwriting recognition
Off-line system
Signature verification
Issue Date: 2003
Publisher: Elsevier
Source: Pattern recognition, 2003, v. 36, no. 1, p. 91-101 How to cite?
Journal: Pattern recognition 
Abstract: There are inevitable variations in the signature patterns written by the same person. The variations can occur in the shape or in the relative positions of the characteristic features. In this paper, two methods are proposed to track the variations. Given the set of training signature samples, the first method measures the positional variations of the one-dimensional projection profiles of the signature patterns; and the second method determines the variations in relative stroke positions in the two-dimension signature patterns. The statistics on these variations are determined from the training set. Given a signature to be verified, the positional displacements are determined and the authenticity is decided based on the statistics of the training samples. For the purpose of comparison, two existing methods proposed by other researchers were implemented and tested on the same database. Furthermore, two volunteers were recruited to perform the same verification task. Results show that the proposed system compares favorably with other methods and outperforms the volunteers.
URI: http://hdl.handle.net/10397/24271
ISSN: 0031-3203
EISSN: 1873-5142
DOI: 10.1016/S0031-3203(02)00061-4
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