Advancements and Challenges in Character Recognition: A Comparative Analysis of CNN and Deep Learning Approaches

Open Access

Issue		ITM Web Conf. Volume 70, 2025 2024 2^nd International Conference on Data Science, Advanced Algorithm and Intelligent Computing (DAI 2024)


Article Number		03010
Number of page(s)		7
Section		Image Processing and Computer Vision
DOI		https://doi.org/10.1051/itmconf/20257003010
Published online		23 January 2025

X.J. Liu, Research on character root extraction algorithm in on-line handwritten Chinese character recognition, Ph.D. thesis, Huazhong University of Science and Technology (2008) [Google Scholar]
T.H. Su, Offline Chinese handwriting recognition - from isolated Chinese characters to real text, Ph.D. thesis, Harbin Institute of Technology (2008) [Google Scholar]
S. Wang, Market status and prospect analysis of handwriting technology, 9(2), 124–128 (2009) [Google Scholar]
E.C. Greanias, Some important factors in the practical utilization of optical character readers. Optical Character Recognition, 129–146 (1962) [Google Scholar]
W.W. Jiao, Research on off-line handwriting character recognition technology, Ph.D. thesis, Xinjiang University (2014) [Google Scholar]
W.Y. Sun, Recognition of defaced Chinese characters by finite sets, Ph.D. thesis, Nanjing University of Aeronautics and Astronautics (2008) [Google Scholar]
T.T. Zin, S. Thant, M.Z. Pwint, T. Ogino, Handwritten Character Recognition on Android for Basic Education Using Convolutional Neural Network. Electronics. 10 (8), 904 (2021) [CrossRef] [Google Scholar]
A. Nikitha, J. Geetha and D.S. JayaLakshmi, Handwritten Text Recognition using Deep Learning. International Conference on Recent Trends on Electronics, Information, Communication & Technology, 388–392 (2020) [Google Scholar]
J. Pradeep, E. Srinivasan and S. Himavathi, Diagonal based feature extraction for handwritten character recognition system using neural network, International Conference on Electronics Computer Technology, 364–368 (2011) [Google Scholar]
N. Arica and F.T. Yarman-Vural, An overview of character recognition focused on offline handwriting, IEEE Transactions on Systems, Man, and Cybernetics, 31 (2), 216233 (2001) [Google Scholar]
K. O’Shea, R.A. Nash, Introduction to Convolutional Neural Networks, National Key Lab for Novel Software Technology (2015) [Google Scholar]
J. Serra, Morphological filtering: An overview, Signal Process, 38(1), 3–11 (1994) [Google Scholar]
M. Sonka, V. Hlavac and R. Boyle, Image Processing Analysis and Machine Vision, CA (1999) [Google Scholar]

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