Offline Bangla handwritten character recognition

Islam, Yamin Bin; Rahman, Md. Taiyebur

dc.contributor.author	Islam, Yamin Bin
dc.contributor.author	Rahman, Md. Taiyebur
dc.date.accessioned	2021-09-16T04:50:10Z
dc.date.available	2021-09-16T04:50:10Z
dc.date.issued	2014-11-15
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dc.identifier.uri	http://hdl.handle.net/123456789/997
dc.description	Supervised by Md. Hasanul Kabir, Ph.D. Assistant Professor, Department of Computer Science and Engineering (CSE), Islamic University of Technology (IUT), Board Bazar, Gazipur-1704, Bangladesh.	en_US
dc.description.abstract	Optical character recognition is an attractive subject for research work now days. In our study of this topic for Bangla Character domain, we have come around some methods of feature extraction and classification along with various preprocessing steps. We have exploited these techniques for their advantages and disadvantages. Among these, the methods that came to our attention because of their high accuracy are Stroke Extraction and encoding which is mainly mathematical, Chaincode extraction based on the direction of the points and Principal Component Analysis(PCA) of the character image. In our research, we have combined these methods and implemented the system in Matlab that gave us better accuracy than their individual implementation.	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-1704, Bangladesh	en_US
dc.title	Offline Bangla handwritten character recognition	en_US
dc.type	Thesis	en_US