Distorted Pattern Recognition and Analysis with the Help of IEf Graph Representation

An algorithm for distorted pattern recognition is presented. lt's generalization of M Flasinski results (Pattern Recognition, 27, 1-16, 1992). A new formalism allows to make both qualitative and quantitive distortion analysis. It also enlarges parser flexibility by extending the set of patterns...

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Bibliographic Details
Main Author: Adam Sedziwy
Format: Article
Language:English
Published: AGH University of Science and Technology Press 2002-01-01
Series:Computer Science
Subjects:
Online Access:http://www.csci.agh.edu.pl/37/1/cs2002%2D02.pdf
Description
Summary:An algorithm for distorted pattern recognition is presented. lt's generalization of M Flasinski results (Pattern Recognition, 27, 1-16, 1992). A new formalism allows to make both qualitative and quantitive distortion analysis. It also enlarges parser flexibility by extending the set of patterns which may be recognized.
ISSN:1508-2806