Adaptive Residual Attention Network for Handwritten Character and Digits Recognition with Improved Energy Valley Optimizer Algorithm-Reference-Cited by-同舟云学术

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Adaptive Residual Attention Network for Handwritten Character and Digits Recognition with Improved Energy Valley Optimizer Algorithm

Published:2024-04-18 Issue: Volume:4 Page:1-6
ISSN:
Container-title:2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems (ADICS)
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Author:

N Srinivasa Rao¹,Kennedy Babu C Nelson²

Affiliation:

1. Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences,Department of Computer Science and Engineering,Thandalam, Chennai,Tamil Nadu,602105

2. Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences,Department of Cloud Computing,Thandalam, Chennai,Tamil Nadu,602105

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10533425/10533188/10533644.pdf?arnumber=10533644

Reference20 articles.

1. Handwritten Urdu Characters and Digits Recognition Using Transfer Learning and Augmentation With AlexNet

2. Enhanced ResNet-151-based fused features for optimized Bi-LSTM-DNN-aided handwritten character and digits recognition

3. Leveraging ShuffleNet transfer learning to enhance handwritten character recognition

4. DIGITNET: A Deep Handwritten Digit Detection and Recognition Method Using a New Historical Handwritten Digit Dataset

5. Handwritten Digits Recognition Using SVM, KNN, RF and Deep Learning Neural Networks

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