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The Polynomial OCR System Peter G. Anderson,
 

Summary:  The Polynomial OCR System
Peter G. Anderson,
Computer Science Department
Rochester Institute of Technology,
Rochester, New York
anderson@cs.rit.edu http://www.cs.rit.edu/
October 24, 2006
Abstract
1
Polynet is a pattern recognition algorithm for hand-printed characters, based
on a combination of the classical least squares method and a neural-network-
type supervised training algorithm. Characters are mapped, nonlinearly, to feature
vectors using selected quadratic polynomials of the given pixels. We use a method
for extracting an equidistributed subsample of all possible quadratic features.
This method creates pattern classifiers with accuracy competitive to feed-
forward systems trained using back propagation; however back propagation training
takes longer by a factor of ten to fifty. (This makes our system particularly attractive
for experimentation with other forms of feature representation, other character sets,
etc.)
The resulting classifier runs much faster in use than the back propagation

  

Source: Anderson, Peter G. - Department of Computer Science, Rochester Institute of Technology

 

Collections: Computer Technologies and Information Sciences