Ensemble deep transfer learning model for Arabic (Indian) handwritten digit recognition
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-021-06423-7.pdf
Reference41 articles.
1. Abdleazeem S, El-Sherif E (2008) Arabic handwritten digit recognition. Int J Doc Anal Recognit (IJDAR) 11(3):127–141
2. Abuowaida S, Chan H, Alshdaifat N, Abualigah L (2021) A novel instance segmentation algorithm based on improved deep learning algorithm for multi-object images. Jordan J Comput Inf Technol 07:1. https://doi.org/10.5455/jjcit.71-1603701313
3. Al-wajih E, Ghazali R (2021) An enhanced lbp-based technique with various size of sliding window approach for handwritten arabic digit recognition. Multimed Tools Appl. https://doi.org/10.1007/s11042-021-10762-x
4. Alani AA (2017) Arabic handwritten digit recognition based on restricted boltzmann machine and convolutional neural networks. Information. https://doi.org/10.3390/info8040142
5. Alkhateeb JH (2020) Handwritten arabic digit recognition using convolutional neural network. Int J Commun Netw Inf Secur 12(3):411–416
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