APPLICATION OF SVM AND SOFT FEATURES TO AZERBAIJANI TEXT RECOGNITION

Abstract
The purpose of this study is to establish more accurate and less time consuming recognition system for Azerbaijani text recognition. The main problem of investigating and developing recognition systems is the extraction of features, in view of the fact that, most of current recognition systems use features, which are unintelligible for human mind and proposed for operating by computers. For eliminating abovementioned problem, in this paper was offered “soft” features, extracted on base of human-mind techniques. On the side of validating SVM approach and “soft” features provided in this paper, experiments were executed using various feature classes offered for Azerbaijani hand printed characters and different methods.

Authors
Elviz A Ismayilov
Azerbaijan State Oil and Industry University, Azerbaijan

Keywords
SVM, Soft Features, Hand-Printed Characters, Characters Recognition, Features Extraction
Published By :
ICTACT
Published In :
ICTACT Journal on Image and Video Processing
( Volume: 9 , Issue: 2 )
Date of Publication :
November 2018

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