Research on license Plate recognition System based on HALCON
Authors: 
Yang Guihua, Tang WeiweiAuthors Info & Claims
Pages 448 - 454
Abstract
Vehicle license plate recognition system has a very important application in the field of intelligent transportation, which is the basis and key of intelligent transportation system. The license plate recognition system based on Halcon includes image preprocessing, license plate location, correction, OCR classifier model training, character segmentation and character recognition. This paper uses Visual C + + 2015 as the system development environment, through the image processing Halcon software platform, using BP neural network technology to achieve license plate number recognition. From the image input to the license plate recognition result output, the average response time is about 0.4 seconds, and the recognition accuracy rate is 95.4%. The experimental results show that the license plate correction and self constructed OCR classifier training model have good reliability, and the system work efficiency is high.
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Index Terms
- Research on license Plate recognition System based on HALCON
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Information
Published In
April 2020
640 pages
ISBN:9781450376457
DOI:10.1145/3436286
- Conference Chairs:
- M. James C. Crabbe,
- Rita Yi Man Li,
- Rebecca Kechen Dong,
- Otilia Manta,
- Ubaldo Comite
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Association for Computing Machinery
New York, NY, United States
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Published: 04 January 2021
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ISBDAI '20
ISBDAI '20: 2020 2nd International Conference on Big Data and Artificial Intelligence
April 28 - 30, 2020
Johannesburg, South Africa
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Overall Acceptance Rate 70 of 340 submissions, 21%
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