Affiliation:
1. Sharadchandra Pawar College of Engineering, Otur, Dumbarwadi, India
Abstract
The ancient Modi script is more complex to decipher than other scripts. However, the "Review on Modi Script Character Recognition System" provides a thorough overview of methods for doing so. Optical Character Recognition (OCR), Convolutional Neural Networks (CNN), Artificial Neural Networks (ANN), Support Vector Machines (SVM), Chain Code, Zerike moment feature extraction, and deep learning are only a few of the methods explored in this paper's literature review section. The methods for recognizing characters written in the Modi script are evaluated for their efficacy and suitability in this context. This report provides a broad overview of recent developments to help researchers and practitioners create effective recognition systems for the Modi script.
Reference49 articles.
1. Prajjwal Bajpai1, Mohd. Shahdil Shuaib, "Handwritten Character Recognition System", International Research Journal of Engineering and Technology (IRJET) Volume: 07 Issue: 04 | Apr 2020
2. Sahil Das, Krishna Wankhede, Anand Rituraj, "Review On Modi Handwritten Characters Recognition", International Research Journal of Modernization in Engineering Technology and Science, Volume:04/Issue:11/November-2022
3. Parag Tamhankar, Krishna Masalkar, and Satish kolhe. "A novel approach for character segmentation of offline handwritten Marathi documents written in Modi script", Procedia Computer Science, 171:179–187, 01 2020.
4. Rushikesh A. Ambildhok Prof. Mrs Snehal R. Rathi, Rohini H. Jadhav,"Recognition and conversion of handwritten modi characters", International Journal of Technical Research and Applications, volume 3(1), 2015.
5. Sanjay S. Gharde and R. J. Ramteke, "Recognition of characters in IndianModi script", International Conference on Global Trends in Signal Processing, Information Computing and Communication (ICGTSPICC), 2016.