Handwritten Digital Image Recognition based on Fusion of Multiple Machine Vision Algorithms
Author:
Affiliation:
1. College of Computer and Electrical Engineering, Huan University of Arts and Science, China
Funder
China Innovation and Entrepreneurship Training Program for College Students
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3640115.3640185
Reference10 articles.
1. An Efficient Handwritten Digit Recognition based on Convolutional Neural Networks with Orthogonal Learning Strategies
2. HossainA Hasan MS Asif M Performance Analysis On Bangla Handwritten Digit Recognition Using CNN And Transfer Learning[J].Intenational Journal of Advanced Networking and Applications-IANA 2021.DOI:10.35444/IJANA.2021.13101.
3. Khandy O M Dadvandipour S. Analysis of machine learning algorithms for character recognition: a case study on handwritten digit recognition[J]. Indonesian Journal of Electrical Engineering and Computer Science 2021(1). DOI:10.11591/IJEECS.V21.11.PP574-581.
4. Deep capsule network for recognition and separation of fully overlapping handwritten digits
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