Title :
An off-line method for human signature verification
Author :
Lee, Luan Ling ; Lizàrraga, Miguel G.
Author_Institution :
Univ. Estadual de Campinas, Sao Paulo, Brazil
Abstract :
This paper presents an off-line human signature verification system. The following information was used to characterize a static signature for verification purpose: the slant directions of the signature strokes and those of the envelopes of the dilated signature images. The system employing a linear classifier provides an equal error rate of 14.6% for skilled forgeries, and 3.0% for simple forgeries
Keywords :
feature extraction; handwriting recognition; image classification; dilated signature images; error rate; human signature verification; linear classifier; off-line method; signature strokes; simple forgeries; skilled forgeries; slant directions; static signature; Databases; Feature extraction; Forgery; Handwriting recognition; Humans; Pixel; Shape; Size measurement; Spatial resolution; Writing;
Conference_Titel :
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-8186-7282-X
DOI :
10.1109/ICPR.1996.546937
