Deep Convolutional Neural Networks for Recognition of Historical Handwritten Kannada Characters

Author:

Chandrakala H. T.,Thippeswamy G.

Publisher

Springer Singapore

Reference18 articles.

1. Nunamaker, B., Bukahari, S.S., Borth, D., Dengel, A.: A tesseract-based OCR framework for Historical documents lacking groundtruth text. In: Proceedings of International Conference of Image Processing, pp. 2381–8549. IEEE (2016)

2. Chandrakala, H.T., Thippeswamy, G.: Epigraphic document image enhancement using retinex method. In: Proceedings of 3rd International Symposium of Signal Processing and Intelligent Recognition Systems, Thampi, S.M., Krishnan, S., Manuel, J., Rodriguez, C., Das, S., Wozniak, M., Al-Jumeily, D. (eds.) Advances in Signal Processing and Intelligent Recognition Systems. Springer International Publishing, ISBN: 978-3-319-67933-4 (2017)

3. Chandrakala, H.T., Thippeswamy, G.: A comprehensive survey on OCR techniques for kannada script. Int. J. Sci. Res. 5(4) (2016). ISSN: 2319-7064

4. Soumya, C.S., Thippeswamy, G., Srivani, P.: Design and development of rotation and scale invariant 3D models for efficient representation and accurate classification of human faces. Int. J. Adv. Electron. Comput. Sci. (2016). ISSN: 2393-2835

5. Amrutha Raj, V., Jyothi, R.L., AnilKumar, A.: Grantha script recognition from ancient palm leaves using histogram of orientation shape context. In: Proceedings of IEEE International Conference on Computing Methodologies and Communication (2017). 978-1-5090-4890-8

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