Author:
Sharma Sandhya,Gupta Sheifali,Kumar Neeraj
Reference23 articles.
1. Jindal, U., Gupta, S., Jain, V. and Paprzycki, M., 2020. Offline Handwritten Gurumukhi Character Recognition System Using Deep Learning. In Advances in Bioinformatics, Multimedia, and Electronics Circuits and Signals(pp. 121–133). Springer, Singapore.
2. Hamida, S., Cherradi, B., Ouajji, H. and Raihani, A., 2019, November. Convolutional Neural Network Architecture for Offline Handwritten Characters Recognition. In International Conference Europe Middle East & North Africa Information Systems and Technologies to Support Learning (pp. 368–377). Springer, Cham.
3. Aneja, N. and Aneja, S., 2019, July. Transfer learning using CNN for handwritten Devanagari character recognition. In 2019 1st International Conference on Advances in Information Technology (ICAIT) (pp. 293–296). IEEE.
4. Abu, M.A., Indra, N.H., Abd Rahman, A.H., Sapiee, N.A. and Ahmad, I., 2019. A study on Image Classification based on Deep Learning and Tensorflow. International Journal of Engineering Research and Technology, 12(4), pp.563–569
5. Garg, A., Jindal, M.K. and Singh, A., 2019. Degraded offline handwritten Gurmukhi character recognition: Study of various features and classifiers. International Journal of Information Technology, (pp. 1–9).
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. MFFCNN: Multi-Feature Fusion-based Deep Learning Architecture for Typewritten Word Recognition System;2024 4th International Conference on Innovative Practices in Technology and Management (ICIPTM);2024-02-21