CA-NN: a cellular automata neural network for handwritten pattern recognition
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11047-022-09937-8.pdf
Reference26 articles.
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3. Ahranjany SS, Razzazi F, Ghassemian MH (2010) A very high accuracy handwritten character recognition system for farsi/arabic digits using convolutional neural networks. In: 2010 IEEE fifth international conference on bio-inspired computing: theories and applications (BIC-TA), IEEE, pp 1585–1592
4. Alom MZ, Sidike P, Taha TM, Asari VK (2017) Handwritten bangla digit recognition using deep learning. arXiv preprint http://arxiv.org/abs/1705.02680
5. Altwaijry N, Al-Turaiki I (2020) Arabic handwriting recognition system using convolutional neural network. Neural Comput Appl, pp 1–13
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1. Handwritten Pattern Recognition Using Birds-Flocking Inspired Data Augmentation Technique;IEEE Access;2023
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