Printed Text Character Analysis Version-III: Optical Character Recognition with Noise Reduction, Background Detection and User Training Mechanism for Simple Cursive Fonts
Автор: Satyaki Roy, Ayan Chatterjee, Rituparna Pandit, Kaushik Goswami
Журнал: International Journal of Information Engineering and Electronic Business(IJIEEB) @ijieeb
Статья в выпуске: 2 vol.7, 2015 года.
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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.
Cursive font handling mechanism, Resizing Algorithm, Character broken lines, Noise Reduction, Background Detection
Короткий адрес: https://sciup.org/15013337
IDR: 15013337
Список литературы 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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