Deep Learning Based Residual Network Features for Telugu Printed Character Recognition-Reference-Cited by-同舟云学术

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Deep Learning Based Residual Network Features for Telugu Printed Character Recognition

Published:2022 Issue:3 Volume:34 Page:1725-1736
ISSN:1079-8587
Container-title:Intelligent Automation & Soft Computing
language:en
Short-container-title:

Author:

Krishna Sonthi Vijaya,Nagarajan S.,Krishnaraj N.

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software

Link

https://www.techscience.com/iasc/v34n3/47941/pdf

Reference17 articles.

1. An overview of character recognition methodologies;Mantas;Pattern Recognition,1986

2. Glyph Segmentation for Offline Handwritten Telugu Characters

3. Off-line telugu handwritten characters recognition using optical character recognition;Prameela,2017

4. Optical character recognition (OCR) for telugu: Database, algorithm and application;Prakash,2018

5. Handwritten telugu composite character recognition using morphological analysis;Fields;International Journal of Pure and Applied Mathematics,2018

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