Author:
Sharma Ashish,Kaur Simran,Vyas Sandeep,Nayyar Anand
Publisher
Springer Nature Singapore
Reference25 articles.
1. Shreya, S., Upadhyay, Y., Manchanda, M., Vohra, R., Singh, G.D.: Optical character recognition using convolutional neural network. In: 2019 6th International Conference on Computing for Sustainable Global Development (INDIACom), pp. 55–59. IEEE (2019)
2. Ranjan, A., Behera, V.N.J., Reza, M.: OCR using computer vision and machine learning. Mach. Learn. Algorith. Indust. Appl. 83–105 (2021)
3. Namysl, M., Konya, I.: Efficient, lexicon-free OCR using deep learning. In: 2019 International Conference on Document Analysis and Recognition (ICDAR), pp. 295–301. IEEE (2019)
4. Ashiquzzaman, A., Tushar, A.K., Dutta, S., Mohsin, F.: An efficient method for improving classification accuracy of handwritten Bangla compound characters using DCNN with dropout and ELU. In: 2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN), pp. 147–152. IEEE (2017)
5. Anil, R., Manjusha, K., Kumar, S.S., Soman, K.: Convolutional neural networks for the recognition of malayalam characters. In: Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014, vol. 2, pp. 493–500 (2015).
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