DocumentCode
173887
Title
Analysis on handwritten Bangla character recognition using ANN
Author
Rahaman, Arifur ; Hasan, Md Maodudul ; Shuvo, Md Faisal ; Ovi, Md Abu Saleh ; Rahman, Md Mamunur
Author_Institution
Dept. of Electron. & Commun. Eng., Khulna Univ. of Eng. & Technol., Khulna, Bangladesh
fYear
2014
fDate
23-24 May 2014
Firstpage
1
Lastpage
5
Abstract
Bangla handwritten character recognition is one of the complex works because of the wide variation of the Bangla character. In this paper we proposed a new approach for extracting the features of Bangla handwritten characters and then recognition of those characters using artificial neural network has done. For the feature extraction process we have used a row and column basis segmentation process in which a binary image the ratio of the dispersion of black from the top of the segment and total number of column or row pixels is measured on that particular segment as well as for each segment and then from this data a feature matrix of M×1 dimension is created for each character. When features from all the characters are extracted then some of the data is used to train the feed forward neural network and after that some characters are used for testing. In our proposed method 94.3% recognition accuracy is obtained when tested on some handwritten Bangla characters.
Keywords
feature extraction; feedforward neural nets; handwritten character recognition; image segmentation; learning (artificial intelligence); matrix algebra; natural language processing; optical character recognition; ANN; artificial neural network; column basis segmentation process; dispersion ratio; feature extraction process; feature matrix; feedforward neural network training; handwritten Bangla character recognition; row basis segmentation process; Accuracy; Artificial neural networks; Character recognition; Data mining; Feature extraction; Handwriting recognition; Image segmentation; Handwritten Bangla character; artificial neural network; character segmentation; recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Informatics, Electronics & Vision (ICIEV), 2014 International Conference on
Conference_Location
Dhaka
Print_ISBN
978-1-4799-5179-6
Type
conf
DOI
10.1109/ICIEV.2014.6850690
Filename
6850690
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