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Proceedings Paper

Automatic seal imprint verification by quantifying edge difference
Author(s): Hao Zhang; Jin He
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Paper Abstract

An algorithm quantifying edge difference between model seal (MS) and sample seal (SS) was proposed to verify Chinese seal imprint in bank check. Differences between MS and deliberately faked SS may be slight, while there exists differences between MS and genuine SS due to the variety of imprinting conditions. To evaluate similarities between MS and SS, edge difference was quantified as two parameters, the distance between non-overlapped corresponding edges and the length of each piece of non-overlapped seal edges. According to the two quantified parameters, SS was verified as true, false or doubtful. 2000 seal imprints (1000 genuine and 1000 fake) were verified for experiments. Results showed that all the fake seal imprints were verified accurately, even when their differences against MS were minute. 27 genuine seal imprints were misclassified as doubtful due to some serious distortions. The false-acceptance error rate was 0%. The false-rejection error rate was 2.7%, and the correct recognition rate was 98.65%.

Paper Details

Date Published: 9 November 2010
PDF: 6 pages
Proc. SPIE 7850, Optoelectronic Imaging and Multimedia Technology, 78500D (9 November 2010); doi: 10.1117/12.870202
Show Author Affiliations
Hao Zhang, Tianjin Univ. (China)
Jin He, Tianjin Univ. of Technology and Education (China)


Published in SPIE Proceedings Vol. 7850:
Optoelectronic Imaging and Multimedia Technology
Toru Yoshizawa; Ping Wei; Jesse Zheng; Tsutomu Shimura, Editor(s)

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