Bangla handwritten numeral recognition using convolutional neural network

2nd International Conference on Electrical Engineering and Information and Communication Technology, iCEEiCT 2015

Volumn , Issue , 2015, Pages

  Akhand, M A H ^a   Rahman, Md Mahbubar ^a   Shill, P C ^a   Islam, Shahidul ^a   Hafizur Rahman, M M ^b  

^a KHULNA UNIVERSITY OF ENGINEERING AND TECHNOLOGY   (Bangladesh)

^b INTERNATIONAL ISLAMIC UNIVERSITY MALAYSIA   (Malaysia)

Author keywords

Bangla Numeral; Convolutional Neural Network Handwritten Numeral Recognition

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTATIONAL LINGUISTICS; CONVOLUTION; EXTRACTION; FEATURE EXTRACTION; IMAGE CLASSIFICATION; NEURAL NETWORKS; TELEMEDICINE;

BANGLA NUMERAL; CONVOLUTIONAL NEURAL NETWORK; FEATURE EXTRACTION METHODS; FEATURE EXTRACTION TECHNIQUES; HANDWRITTEN NUMERAL RECOGNITION; INDIAN SUBCONTINENTS; RECOGNITION ACCURACY; TRANSLATION INVARIANCE;

CHARACTER RECOGNITION;

EID: 84962141622     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICEEICT.2015.7307467     Document Type: Conference Paper

References (12)

1. R. Plamondon and S. N. Srihari, "On-line and off-line handwritten recognition: A comprehensive survey," IEEE Trans. on P AMI, vol. 22, pp. 62-84,2000.
2. U. Pal, C. B. B. Chaudhuri and A. Belaid, "A System for BangIa Handwritten Numeral Recognition," TETE Journal of Research, Institution of Electronics and Telecommunication Engineers, vol. 52, no. I, pp. 27-34, 2006.
3. S. Basu, R. Sarkar, N. Das, M. Kundu, M. Nasipuri and D. K. Basu, "Handwritten BanglaDigit Recognition Using Classifier Combination Through DS Technique," LNCS, vol. 3776, pp. 236-241,2005
4. M. R. Bashar, M. A. F. M. R. Hasan, M. A. Hossain and D. Das, "Handwritten Bangia Numerical Digit Recognition using Histogram Technique," Asian Journal of Information Technology, vol. 3, pp. 611-615,2004.
5. M. M. R. Khan, S. M. A. Rahman and M. M. Alam, "Bangia Handwritten Digits Recognition using Evolutionary Artificial Neural Networks" in Proc. of the 7th International Conference on Computer and Tnformation Technology (TCClT 2004), 26-28 December, 2004, Dhaka, Bangladesh.
6. Y. Wen, Y. Lu and P. Shi, "Handwritten Bangia numeral recognition system and its application to postal automation," Pattern Recognition, vol. 40, pp. 99-107,2007.
7. Y. Wen and L. He, "A classifier for BangIa handwritten numeral recognition," Expert Systems with Applications, vol. 39, pp. 948-953,2012.
8. M. K. Nasir and M. S. Uddin, "Hand Written BangIa Numerals Recognition for Automated Postal System," TOSR Journal of Computer Engineering (IOSR-JCE), vol. 8, no. 6, pp. 43-48, 2013.
9. Y. Lecun and Y. Bengio, "Pattern Recognition and Neural Networks ", in Arbib, M. A. (Eds), The Handbook of BrainTheory and Neural Networks, MIT Press 1995.
10. Y. LeCun, L. Bottou, Y. Bengio and P. Haffner, Gradient-based learning applied to document Recognition, in Proceedings of the IEEE, vol. 86, no. 11, pp. 2278-2324, November 1998.
11. Feature extraction using convolution. Available: http://deep learn i n g. stanford. edu/wikili ndex. phpl
12. Table II. A Comparative Description of Proposed BHNR-CNN with Some Contemporary Methods.