A New Type Method of Adhesive Handwritten Digit Recognition Based on Improved Faster RCNN
Author:
Affiliation:
1. Jingzhou Tobacco Company,Science and Information Center,Jingzhou,China
2. Wuhan University of Technology,School of Information Engineering,Wuhan,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9339228/9339248/09339270.pdf?arnumber=9339270
Cited by 5 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. Synergizing SVM Classifier with Hybrid CNN Architecture for Handwritten Recognition;2024 International Conference on Emerging Smart Computing and Informatics (ESCI);2024-03-05
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3. Decoding Digits: Advancements in hand written Digit Recognition with Machine Learning Algorithms;2023 International Conference on Recent Advances in Science and Engineering Technology (ICRASET);2023-11-23
4. SnapSolve — A Novel Mathematics Equation Solver using Deep Learning;2022 6th International Conference on Trends in Electronics and Informatics (ICOEI);2022-04-28
5. Small-Scale Robust Digital Recognition of Meters Under Unstable and Complex Conditions;IEEE Transactions on Instrumentation and Measurement;2022
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