Wavelet-based off-line handwritten signature verification

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题名:	Wavelet-based off-line handwritten signature verification
作者:	Deng,PS;Liao,HYM;Ho,CW;Tyan,HR
贡献者:	資訊工程研究所
关键词:	REPRESENTATION;IMAGES
日期:	1999
上传时间:	2010-06-29 20:15:06 (UTC+8)
出版者:	中央大學
摘要:	In this paper, a wavelet-based off-line handwritten signature verification system is proposed. The proposed system can automatically identify useful and common features which consistently exist within different signatures of the same person and, based on these features, verify whether a signature is a forgery or not, The system starts with a closed-contour tracing algorithm. The curvature data of the traced closed contours are decomposed into multiresolutional signals using wavelet transforms. Then the zero-crossings corresponding to the curvature data are extracted as features for matching. Moreover, a statistical measurement is devised to decide systematically which closed contours and their associated frequency data of a writer are most stable and discriminating. Based on these data, the optimal threshold value which controls the accuracy of the feature extraction process is calculated. The proposed approach can be applied to both on-line and off-line signature verification systems, Experimental results show that the average success rates for English signatures and Chinese signatures are 92.57% and 93.68%, respectively. (C) 1999 Academic Press.
關聯:	COMPUTER VISION AND IMAGE UNDERSTANDING
显示于类别:	[資訊工程研究所] 期刊論文

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