Handwritten Characters Recognition Using Modification of Classic Rosenblatt’s Perceptron Extended with Multiple S-layers

Pavlo Serdyuk1 pavlo.serdyuk [at] gmail.com
Vasyl Mosiiuk2 vasyl.mosiiuk [at] gmail.com
  1. Software Department, Lviv Polytechnic National University, UKRAINE, Lviv, S. Bandery street 28A
  2. Software Department, Lviv Polytechnic National University, UKRAINE, Lviv, S. Bandery street 28A
Abstract 

Presented structure and principles of perceptron with multiple sensor layers. Demonstrated how it recognize character image and vote for result

Keywords 
computer vision
CV
perceptron
OCR
machine learning
handwritten characters
References 

[1] [F. Rosenblatt, "Principles of Neurodynamic" Spartan Books, Washington, DC, 1962.
[2] [M. L. Minsky, "Perceptrons" MIT Press, Cambridge, MA, 1969.
[3] [S. I. Gallant, "Perceptron-based learning algorithms" IEEE Transactions on Neural Networks, vol. 1, no. 2, pp. 179–191, 1990.
[4] [Y. Hongfeng, "Perceptron-Based Algorithms and Analysis" Spectrum Library, Concordia University, Canada, 1996.
[5] M. D. Estebon, "Perceptrons: An Associative Learning Network" Virginia Tech, 1997.
[6] J. E. Dayhoff, " Neural Network Architecturs: An introduction" Van Nostrand Reinhold, Australia, 19970.