Publisher
Springer Nature Switzerland
Reference15 articles.
1. Deore, S.P., Pravin, A.: Histogram of oriented gradients based off-line handwritten devanagari characters recognition using SVM, K-NN and NN Classifiers. Rev. d’Intelligence Artif. 33(6), 441–446 (2019)
2. Surinta, O., Karaaba, M.F., Schomaker, L.R.B., et al.: Recognition of handwritten characters using local gradient feature descriptors. Eng. Appl. Artif. Intell. 45, 405–414 (2015)
3. Roy, R.K., Mukherjee, H., Roy, K., et al.: CNN based recognition of handwritten multilingual city names. Multimedia Tools Appl. pp. 1–17 (2022)
4. Dutta, K., Krishnan, P., Mathew, M., et al.: Improving CNN-RNN hybrid networks for handwriting recognition. In: 2018 16th International Conference on Frontiers in Handwriting Recognition (ICFHR). pp. 80–85. IEEE (2018)
5. Elleuch, M., Kherallah, M.: An improved Arabic handwritten recognition system using deep support vector machines. In: Computer Vision: Concepts, Methodologies, Tools, and Applications, pp. 656–678. IGI Global (2018)