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An off-line method for human signature verification

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.