Segmentation-free Offline Handwritten Malayalam Word Recognition using Transfer Learning Based Deep Neural Network-Reference-Cited by-同舟云学术

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Segmentation-free Offline Handwritten Malayalam Word Recognition using Transfer Learning Based Deep Neural Network

Published:2022-12-28 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)
language:
Short-container-title:

Author:

A T Anju¹,Chacko Binu P²,Basheer K P Mohamed³

Affiliation:

1. Sullamussalam Science College,Deparment of Computer Science,Malappuram,India

2. Prajyoti Niketan College,Department of Computer Science,Trisssur,India

3. Sullamussalam Science College,Department of Computer Science,Malappuram,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10059457/10059586/10060557.pdf?arnumber=10060557

Reference15 articles.

1. Deep-learning ensemble for offline Arabic handwritten words recognition;awni;2019 14th International Conference on Computer Engineering and Systems (ICCES),2019

2. Enhanced technique for Arabic handwriting recognition using deep belief network and a morphological algorithm for solving ligature segmentation

3. Extremely randomized trees

4. Deep Learning Application for Handwritten Arabic Word Recognition

5. Handwritten word recognition using lottery ticket hypothesis based pruned CNN model: a new benchmark on CMATERdb2. 1.2;malakar;Neural Computing and Applications,2020

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1. Comparison of GLCM and DCT features for Malayalam Palm Leaf Character Recognition;2024 5th International Conference for Emerging Technology (INCET);2024-05-24

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