Effect of supervised learning methodologies in offline handwritten Thai character recognition-Reference-Cited by-同舟云学术

Effect of supervised learning methodologies in offline handwritten Thai character recognition

Published:2019-10-01 Issue:1 Volume:12 Page:57-64
ISSN:2511-2104
Container-title:International Journal of Information Technology
language:en
Short-container-title:Int. j. inf. tecnol.

Author:

Joseph Ferdin Joe John^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Information Systems

Link

http://link.springer.com/content/pdf/10.1007/s41870-019-00366-y.pdf

Reference22 articles.

1. Tembe AU, Thombre SS (2017) Survey of copy-paste forgery detection in digital image forensic. In 2017 international conference on innovative mechanisms for industry applications (ICIMIA), pp 248–252

2. Singh S (2013) Optical character recognition techniques: a survey. J Emerg Trends Comput Inf Sci 4(6):545–550

3. Kannan RJ, Prabhakar R (2009) A comparative study of optical character recognition for tamil script. Eur J Sci Res 35(4):570–582

4. Ravi FJJT, Velayutham PR (2010) Effective tamil character recognition in tablet PCs using pattern recognition. In Tamil Internet Conference

5. Hildebrandt TH, Liu W (1993) Optical recognition of handwritten Chinese characters: advances since 1980. Pattern Recognit 26(2):205–225

Cited by 14 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. ROBDD-TrOCRBERTa: a novel robust-optimized blurred document text deblurring and completion with DCGAN-TrOCR and DistilRoBERTa;International Journal of Information Technology;2024-07-20

2. Interpreting Doctors' Notes Using Handwriting Recognition and Deep Learning Techniques;2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM);2024-04-04

3. Deep Learning for Handwritten Character Recognition;2023 International Conference on Sustainable Emerging Innovations in Engineering and Technology (ICSEIET);2023-09-14

4. Vision-Based Data-Driven Modeling Vehicle Detection in Videos Using Convolutional Neural Network;Advances in Artificial and Human Intelligence in the Modern Era;2023-09-08

5. The self-adaptive dwarf mongoose optimized bidirectional network approach for enhanced recognition of overlapped English cursive characters;Signal, Image and Video Processing;2023-08-10