An End to End System for Online Handwritten Bangla Character Recognition

Nahin, Shahriar Nur; Imam, Kazi Fahim; Rahman, Nabil; Tasnim, Anika

dc.contributor.author	Nahin, Shahriar Nur
dc.contributor.author	Imam, Kazi Fahim
dc.contributor.author	Rahman, Nabil
dc.contributor.author	Tasnim, Anika
dc.date.accessioned	2023-04-28T04:46:11Z
dc.date.available	2023-04-28T04:46:11Z
dc.date.issued	2022-05-30
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dc.identifier.uri	http://hdl.handle.net/123456789/1859
dc.description	Supervised by Mr. A.B.M. Ashiqur Rahman, Assistant Professor, Co-Supervisor: Shahriar Ivan Lecturer, Department of Computer Science and Engineering(CSE), Islamic University of Technology (IUT) Board Bazar, Gazipur-1704, Bangladesh. This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.	en_US
dc.description.abstract	This report summarizes the attempt to find the way towards building an Optical Character Recognition System for handwritten Bangla characters. The complex and unique structure of scripts like Bangla and ever challenging nature of hand- written texts combined makes it really difficult to complete a perfect system to approach to convert the scanned handwritten Bangla scripts to machine editable digital counterpart format of it- as segmentation of the whole image into char- acters and then classification of the segmented characters is difficult enough to make the task challenging. In our work, we propose to approach the segmentation process (directly segment to words) with Distance Transform and morphological operations for error correction later. Then two zone approach (either side of matra- upper and lower zone) and apply connected component analysis on both zones. We handled or adjusted the failed and not directly successful cases by experimenting with the characteristics of handwritten characters. Then for clas- sification process, we proposed to classify the segmented characters using neural networks trained on the relatively newly available datasets. Multiple column, Mixed characters (Bangla- other languages) and Scene Text Recognition is out of the scope of our study so far. And we could not include the post-processing part for our work for lack of work or mention in existing literature, which might be a great addition in the way of building a complete OCR system.	en_US
dc.language.iso	en	en_US
dc.publisher	Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur, Bangladesh	en_US
dc.subject	Bangla Handwritten Character Recognition, Handwritten Doc- ument Recognition, Optical character recognition	en_US
dc.title	An End to End System for Online Handwritten Bangla Character Recognition	en_US
dc.type	Thesis	en_US