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1. Off-line signature verification using directional PDF and neural networks
Sabourin, R.; Drouhard, J.-P.;
Pattern Recognition, 1992. Vol.II. Conference B: Pattern Recognition Methodology and Systems, Proceedings., 11th IAPR International Conference on
30 Aug.-3 Sept. 1992 Page(s):321 - 325
Abstract:

The first stage of a complete automatic handwritten signature verification system (AHSVS) is described in this paper. Since only random forgeries are taken into account in this first stage of decision, the directional probability density function (PDF) which is related to the overall shape of the handwritten signature has been taken into account as feature vector. Experimental results show that using both directional PDFs and the completely connected feedforward neural network classifier are valuable to build the first stage of a complete AHSVS
Abstract | Full Text: PDF(388 KB)    IEEE CNF
 
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