A Feature-enhanced Ship License Plate Recognition Algorithm Based on Matched Filter
Authors: 
Xin Zhou, Liling Jiang, Aibin GuoAuthors Info & Claims
Xin Zhou, Liling Jiang, Aibin GuoAuthors Info & ClaimsPages 172 - 178
Abstract
Water transportation is an indispensable part of country's transportation, and water transportation is mainly based on shipping. The accurate identification of ship license plate is of great significance for ship entry and exit supervision and ship collision avoidance. Based on the end-to-end variable-length text recognition algorithm of CRNN, this paper proposes a new solution for ship license plate recognition. Aiming at the problems of ambiguity and low resolution of the ship's license plate, an enhancement branch is introduced, and an enhance block is designed to enhance the feature of the character area. In addition, in view of the problem that the character tubular area extends to different directions, the matched filter in the enhance block is rotated to form a filter bank of 12 directions, so as to fit the character area in different directions. Experiments are carried out on the real dataset and the generated simulation dataset, and the experimental results show that the scheme can effectively identify ship license plate.
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Index Terms
- A Feature-enhanced Ship License Plate Recognition Algorithm Based on Matched Filter
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Published In
August 2022
309 pages
ISBN:9781450396912
DOI:10.1145/3556384
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Published: 29 October 2022
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SPML 2022
SPML 2022: 2022 5th International Conference on Signal Processing and Machine Learning
August 4 - 6, 2022
Dalian, China
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