Hybrid CNN-GRU Model for Handwritten Text Recognition on IAM, Washington and Parzival Datasets
Author:
Affiliation:
1. Jagannath University,Department of Engineering & Technology,Jaipur,India
2. JIMS Delhi,Department of IT,Delhi,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10150429/10151454/10151552.pdf?arnumber=10151552
Reference15 articles.
1. WSNet-Convolutional Neural Networkbased Word Spotting for Arabic and English Handwritten Documents;mohammed;TEM Journal,2022
2. Distilling Content from Style for Handwritten Word Recognition
3. Refocus attention span networks for handwriting line recognition;hamdan;International Journal on Document Analysis and Recognition (IJDAR),2022
4. Boosting Offline Handwritten Text Recognition in Historical Documents With Few Labeled Lines;josé carlos;IEEE Access,2021
5. Sequence-To-Sequence Domain Adaptation Network for Robust Text Image Recognition
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