DocumentCode :
3068833
Title :
Application of neural network classifiers for the OCR of printed texts
Author :
Kussul, Ernst M. ; Baidyk, Tatyana N. ; Rachkovskij, Dmitri A.
Author_Institution :
V.M. Glushkov Inst. of Cybern., Acad. of Sci., Kiev, Ukraine
fYear :
1995
fDate :
20-23 Sep 1995
Firstpage :
1
Lastpage :
6
Abstract :
A neural network classifier is developed for application to the optical character recognition of printed texts. The paper describes the structure of the classifier, the subtasks that are solved by the classifier, and the experimental results
Keywords :
image classification; image segmentation; neural nets; optical character recognition; OCR; neural network classifiers; optical character recognition; printed texts; Character recognition; Cybernetics; Dictionaries; Error correction; Neural networks; Optical character recognition software; Optical computing; Optical fiber networks; Software quality; Text recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neuroinformatics and Neurocomputers, 1995., Second International Symposium on
Conference_Location :
Rostov on Don
Print_ISBN :
0-7803-2512-5
Type :
conf
DOI :
10.1109/ISNINC.1995.480830
Filename :
480830
Link To Document :
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