Deep Learning Based Airport Passenger Baggage Tag Information OCR: AI-Based OCR for Airport Baggage Tagging
Authors: 
Jie Guo, Lihui Dong, Peng ZhangAuthors Info & Claims
Pages 386 - 390
Abstract
With the growth of China's economy and civil aviation services, air travel has increased, but small airports still face challenges in baggage handling due to high costs and technical difficulties of RFID technology. This paper compares the application of traditional OCR technology and deep learning-based OCR technology in airport baggage tag recognition, and a representative method is selected for comparison, respectively. Results show that deep learning OCR can assist manual sorting, which has high recognition accuracy and shows higher potential and performance in baggage handling tasks in small airports.
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Index Terms
- Deep Learning Based Airport Passenger Baggage Tag Information OCR: AI-Based OCR for Airport Baggage Tagging
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Published In
June 2024
399 pages
ISBN:9798400709937
DOI:10.1145/3687488
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Association for Computing Machinery
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Published: 18 November 2024
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ICCIR 2024
ICCIR 2024: 2024 4th International Conference on Control and Intelligent Robotics
June 21 - 23, 2024
Guangzhou, China
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Overall Acceptance Rate 131 of 239 submissions, 55%
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