Author:
Pughazendi N.,HariKrishnan M.,Khilar Rashmita,Sharmila L.
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials
Reference32 articles.
1. Ahlawat, S., et al.: Improved handwritten digit recognition using convolutional neural networks (CNN). Sensors 20(12), 1–18 (2020). https://doi.org/10.3390/s20123344
2. Ali, A.A.A., Mallaiah, S.: Intelligent handwritten recognition using hybrid CNN architectures based-SVM classifier with dropout. J. King Saud Univ. Comput. Inf. Sci. 34(6), 3294–3300 (2022)
3. Anjul, A.T., et al.: Review of offline handwritten text recognition in south Indian languages. Malaya J. Matematik 9(1), 751–756 (2021). https://doi.org/10.26637/MJM0901/0132
4. Antony Robert Raj, M., Abirami, S.: Structural Representation-Based of-Line Tamil Handwritten Character Recognition. Springer (2019). https://doi.org/10.1007/s00500-019-03978-5
5. Babitha Lincy, R., Gayathri, R.: Optimally Configured CNN for Tamil Handwritten Character Recognition by Improved Lion Optimization Model. Springer (2020). https://doi.org/10.1007/s11042-020-09771-z