DocumentCode
2764255
Title
A new fuzzy geometric representation for online isolated character recognition
Author
Hebert, Jean-Francois ; Parizeau, Marc ; Ghazzali, Nadia
Author_Institution
Comput. Vision & Syst. Lab., Laval Univ., Que., Canada
Volume
2
fYear
1998
fDate
16-20 Aug 1998
Firstpage
1121
Abstract
Introduces a fuzzy representation for isolated character description. This representation maps a character from its original sequence of 2D coordinates into a fuzzy vector space that can thereafter serve as input to any artificial neural network classifier. Recognition experiments on isolated digits extracted from the UNIPEN database are their conducted to evaluate the performances of the proposed representation using a hybrid Kohonen-perceptron (KP) neural network
Keywords
fuzzy set theory; geometry; handwritten character recognition; perceptrons; self-organising feature maps; sequences; 2D coordinates; UNIPEN database; fuzzy geometric representation; fuzzy vector space; hybrid Kohonen-perceptron neural network; isolated digits; online isolated character recognition; Artificial neural networks; Character recognition; Computer vision; Fuzzy sets; Handwriting recognition; Laboratories; Mathematics; Neural networks; Read only memory; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Conference_Location
Brisbane, Qld.
ISSN
1051-4651
Print_ISBN
0-8186-8512-3
Type
conf
DOI
10.1109/ICPR.1998.711891
Filename
711891
Link To Document