Handwritten Digit String Recognition using Deep Autoencoder based Segmentation and ResNet based Recognition Approach-Reference-Cited by-同舟云学术

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Handwritten Digit String Recognition using Deep Autoencoder based Segmentation and ResNet based Recognition Approach

Published:2021-01-10 Issue: Volume: Page:
ISSN:
Container-title:2020 25th International Conference on Pattern Recognition (ICPR)
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Author:

Chakraborty Anuran,De Rajonya,Malakar Samir,Schwenker Friedhelm,Sarkar Ram

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9411940/9411911/09412198.pdf?arnumber=9412198

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. On usage of an end-to-end deep neural architecture for handwritten digit string recognition;Signal, Image and Video Processing;2024-01-18

2. Recent advances of ML and DL approaches for Arabic handwriting recognition: A review;International Journal of Hybrid Intelligent Systems;2023-07-13

3. Devanagari Handwritten Character Recognition Using Dynamic Routing Algorithm;AI, IoT, Big Data and Cloud Computing for Industry 4.0;2023

4. DL vs. Traditional ML Algorithms to Recognize Arabic Handwriting Script: A Review;Intelligent Systems Design and Applications;2023

5. TriView-ParNet: parallel network for hybrid recognition of touching printed and handwritten strings based on feature fusion and three-view co-training;Applied Intelligence;2022-12-21

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