Printed Text Character Analysis Version-III: Optical Character Recognition with Noise Reduction, Background Detection and User Training Mechanism for Simple Cursive Fonts | Zendy

Satyaki Roy | Zendy; Ayan Chatterjee | Zendy; Rituparna Pandit | Zendy; Kaushik Goswami | Zendy

Open Access

Printed Text Character Analysis Version-III: Optical Character Recognition with Noise Reduction, Background Detection and User Training Mechanism for Simple Cursive Fonts

Author(s) -

Satyaki Roy,

Ayan Chatterjee,

Rituparna Pandit,

Kaushik Goswami

Publication year - 2015

Publication title -

international journal of information engineering and electronic business

Language(s) - English

Resource type - Journals

eISSN - 2074-9023

pISSN - 2074-9031

DOI - 10.5815/ijieeb.2015.02.05

Subject(s) - cursive , computer science , character (mathematics) , font , optical character recognition , speech recognition , process (computing) , artificial intelligence , simple (philosophy) , programming language , philosophy , geometry , mathematics , epistemology , image (mathematics)

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.

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