An off-line method for human signature verification

  title={An off-line method for human signature verification},
  author={Lee Luan Ling and Miguel Gustavo Liz{\'a}rraga},
This paper presents an off-line human signature verification system. The following information was used to characterize a static signature for verifcation purpose.' the slant directions of the signature strokes and those of the envelopes of the dilated signature images. The system employing a linear classifer provides an equal error rate of 14.6% for skilledforgeries, and 3.0 % for simple forgeries. 

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