International Journal of Information Engineering and Electronic Business (IJIEEB)
IJIEEB Vol. 7, No. 2, 8 Mar. 2015
Cover page and Table of Contents: PDF (size: 806KB)
Printed Text Character Analysis Version-III: Optical Character Recognition with Noise Reduction, Background Detection and User Training Mechanism for Simple Cursive Fonts
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Author(s)
Satyaki Roy
1,*
Ayan Chatterjee
1
Rituparna Pandit
1
Kaushik Goswami
1
Index Terms
Cursive font handling mechanism, Resizing Algorithm, Character broken lines, Noise Reduction, Background Detection
Abstract
The present system performs analysis of snapshots of cursive and non-cursive font character text images and yields customizable text files using optical character recognition technology. In the previous versions the authors have discussed the user training mechanism that introduces new non-cursive font styles and writing formats into the system and incorporates optimization, noise reduction and background detection modules. This system specifically focuses on enhancing the process of character recognition by introducing a mechanism for handling simple cursive fonts.
Cite This Paper
Satyaki Roy, Ayan Chatterjee, Rituparna Pandit, Kaushik Goswami, "Printed Text Character Analysis Version-III: Optical Character Recognition with Noise Reduction, Background Detection and User Training Mechanism for Simple Cursive Fonts", IJIEEB, vol.7, no.2, pp.27-37, 2015. DOI:10.5815/ijieeb.2015.02.05
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