This paper is concerned with the development of an algorithm for the assessment of information content of 2-D patterns encountered in practical pattern recognition problems. The technique developed is based on the fundamentals of information theory (i.e., the entropy) to assess the translational and rotational information content of patterns which can then be combined to provide for the assessment of the overall information content associated with the particular pattern. The results obtained are then used to derive a practical pattern recogniser for typed character recognition.<>
A novel application of information theory to pattern recognition problems
01.01.1994
307906 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
A Novel Application of Information Theory to Pattern Recognition Problems
British Library Conference Proceedings | 1994
|Mathematical Methods in Pattern Recognition Theory Software for Group Classification Problems
British Library Online Contents | 1999
|Algorithmic Models for Solving Pattern Recognition Problems
British Library Online Contents | 1999
|Application of pattern recognition methods to solve optimization problems using imitation models
British Library Online Contents | 2011
|Technical Diagnostics on the Basis of a Novel Theory of Pattern Recognition
British Library Online Contents | 2003
|