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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/15659
Title: A two phase trained Convolutional Neural Network for Handwritten Bangla Compound Character Recognition
Authors: Keserwani P.
Ali T.
Pratim Roy, Partha
Published in: Proceedings of 2017 9th International Conference on Advances in Pattern Recognition, ICAPR 2017
Abstract: Recognizing Bangla compound characters is a challenging problem due to its high curly nature. In this paper, we propose a convolutional neural network (CNN) architecture to recognize handwritten Bangla compound characters. The learning of proposed architecture is done in two phase. In the first phase, a CNN is trained in an unsupervised way to minimize the reconstruction loss. Afterward, these weights are used to initialize the starting layers of second CNN to reduce the recognition loss through supervised learning. The effectiveness of the proposed model is validated on compound character dataset CMATERdb 3.1.3.3, which consists of 171 different character classes. It achieves recognition results of 93.90% and 97.37 % in top 1 and top 2 choices. The recognition performance outperforms state-of-the-art method for handwritten Bangla compound characters by a margin of 3.57%. © 2017 IEEE.
Citation: Proceedings of 2017 9th International Conference on Advances in Pattern Recognition, ICAPR 2017, (2018), 70- 75
URI: https://doi.org/10.1109/ICAPR.2017.8592983
http://repository.iitr.ac.in/handle/123456789/15659
Issue Date: 2018
Publisher: Institute of Electrical and Electronics Engineers Inc.
Keywords: Compound character
Convolutional Neural Network
Handwritten Bangla character recognition
ISBN: 9.78154E+12
Author Scopus IDs: 57205562856
55314607400
56880478500
Author Affiliations: Keserwani, P., Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, India
Ali, T., Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, India
Roy, P.P., Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, India
Appears in Collections:Conference Publications [CS]

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