Open Access
| Issue |
MATEC Web Conf.
Volume 392, 2024
International Conference on Multidisciplinary Research and Sustainable Development (ICMED 2024)
|
|
|---|---|---|
| Article Number | 01128 | |
| Number of page(s) | 3 | |
| DOI | https://doi.org/10.1051/matecconf/202439201128 | |
| Published online | 18 March 2024 | |
- M. Hanmandlu, O. V. R. Murthy and V. K. Madasu, “Fuzzy Model Based Recognition of Handwritten Hindi Characters,” 9th Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications (DICTA 2007), Glenelg, SA, Australia, 2007, pp. 454-461. [Google Scholar]
- U. Pal, T. Wakabayashi, and F. Kimura, “Comparative study of Devanagari handwritten character recognition using different features and classifiers,” in Proc. 10th Conf. Document Anal. Recognit., 2009, pp. IIII-1115 [Google Scholar]
- M. Jangid and S. Srivastava, “Gradient Local Auto-Correlation for handwritten Devanagari character recognition,” 2014 International Conference on High Performance Computing and Applications (ICHPCA), Bhubaneswar, India, 2014, pp. 1-5. [Google Scholar]
- A. Indian and K. Bhatia, “A survey of offline handwritten Hindi character recognition,” 2017 3rd International Conference on Advances in Computing, Communication & Automation (ICACCA) (Fall), Dehradun, India, 2017, pp. 1-6. [Google Scholar]
- Gaur, A., and Yadav, S. (2015) “Handwritten Hindi character recognition using K-means clustering and SVM”, in Fourth International Symposium on Emerging Trends and Technologies in Libraries and Information Services, IEEE Press, pp. 65–70. [Google Scholar]
- Shitole, S., and Jadhav, S. (2018) “Recognition of handwritten Devanagari characters using linear discriminant analysis”, in Second International Conference on Inventive Systems and Control, IEEE Press, pp. 100–103. [Google Scholar]
- Yadav, M., and Purwar, R. (2017) “Hindi handwritten character recognition using multiple classifiers”, in Seventh International Conference on Cloud Computing, Data Science & Engineering – Confluence, IEEE Press, pp. 149–154. [Google Scholar]
- Bhandare, M. S., and Kakade, A. S. (2015) “Handwritten (Marathi) compound character recognition”, in International Conference on Innovations in Information, Embedded and Communication Systems, IEEE Press, pp. 1 [Google Scholar]
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