A Comprehensive Review for Optical Character Recognition of Handwritten Devanagari Script
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-7954-7_44
Reference24 articles.
1. Hamdan YB (2021) Construction of statistical SVM based recognition model for handwritten character recognition. J Inf Technol 3(02):92–107
2. Bhagyasree PV, James A, Saravanan C (2019) A proposed framework for recognition of handwritten cursive english characters using DAG-CNN. In: 2019 1st international conference on innovations in information and communication technology (ICIICT). IEEE
3. Sharma R, Mudgal T (2019) Primitive feature-based optical character recognition of the Devanagari script. In: Progress in advanced computing and intelligent engineering. Springer, Singapore, pp 249–259
4. Chaudhuri A et al. (2017) Optical character recognition systems. In: Optical character recognition systems for different languages with soft computing. Springer, Cham, pp 9–41
5. Gaur A, Yadav S (2015) Handwritten Hindi character recognition using k-means clustering and SVM. In: 2015 4th International symposium on emerging trends and technologies in libraries and information services, pp 65–70, https://doi.org/10.1109/ETTLIS.2015.7048173
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