Hidden-Markov-Model-Based Segmentation Confidence Applied to Container Code Character Extraction-Reference-Cited by-同舟云学术

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Hidden-Markov-Model-Based Segmentation Confidence Applied to Container Code Character Extraction

Published:2011-12 Issue:4 Volume:12 Page:1147-1156
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Chen Mo,Wu Wei,Yang Xiaomin,He Xiaohai

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx5/6979/6082048/05766749.pdf?arnumber=5766749

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. Modelling Studies of Automatic Container Code Recognition System for Real Time Implementation;2024 IEEE Symposium on Industrial Electronics & Applications (ISIEA);2024-07-06

2. FRCA: High-efficiency container number detection and recognition algorithm with enhanced attention;Eleventh International Conference on Graphics and Image Processing (ICGIP 2019);2020-01-03

3. FPGA architecture for text extraction from images;Cluster Computing;2018-01-06

4. A Positioning Lockholes of Container Corner Castings Method Based on Image Recognition;Polish Maritime Research;2017-11-22

5. A new method for expiration code detection and recognition using gabor features based collaborative representation;Advanced Engineering Informatics;2015-10

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