Title :
Signature verification system on neuro-computer
Author :
Higashino, Junichi
Author_Institution :
Central Res. Lab., Hitachi Ltd., Tokyo, Japan
fDate :
30 Aug-3 Sep 1992
Abstract :
A signature verification system using a neuro-computer is presented. The neuro-computer executes the backpropagation learning algorithm for multilayer neural networks faster than a super computer. The system uses signals obtained from pen pressure and writing speed. A method for generating deformed signature patterns is also presented. The learning of about 500 patterns is converged within several seconds using four-layer networks (768-119-61-1). The evaluation result based on 70 persons´ signatures is also presented. The reject ratio (false rejection) is 7.97% and the error ratio (false acceptance) is 0.61%
Keywords :
backpropagation; character recognition equipment; backpropagation learning algorithm; deformed signature patterns; error ratio; false acceptance; false rejection; four-layer networks; multilayer neural networks; neuro-computer; pen pressure; reject ratio; signature verification system; writing speed; Circuits; Computer networks; Data mining; Handwriting recognition; Laboratories; Network servers; Neural networks; Neurons; Optical sensors; Pressure measurement;
Conference_Titel :
Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2920-7
DOI :
10.1109/ICPR.1992.202038
