Design of High Capacity 8 colors Code based on Screen-Camera Communication
Pages 345 - 349
Abstract
Screen-Camera communication is a visible light communication mode based on camera-screen link, which needs a coding scheme with high capacity. Recently, numerous researches have been done on how to improve the capacity of barcode. In this paper we propose a new code with high capacity, which is generated with 8 channel colors to expand the carrying capacity. The capacity of traditional barcodes is limited by functional graphics, so the high capacity 8 colors code (HC8C code) utilized a new functional graphics to expand the capacity. This new functional graphics is comprised of four-color circles, which can locate and adjust the code quickly and occupies smaller area. Results show that at the size of 21 * 21 pixels, the capacity of the HC8C Code is 1200 bits. At the same size, the capacity of HC8C Code is 5.55 times larger than the QR Code and 1.63 times larger than the eight colors HD2DC Code.
References
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Kim, Y. et al. 2018. Pre-processing images for enhancing reliability in screen-to-camera communication. IEEE Wireless Communications Letters. 7, 6 (2018), 934--937.
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Wang, Q. et al. 2015. Rain Bar: Robust Application-Driven Visual Communication Using Color Barcodes. Proceedings - International Conference on Distributed Computing Systems (2015), 537-- 546.
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ISO/IEC 18004:2005 (2005) Information technology - Automatic identification and data capture techniques - QR Code 2005 bar code symbology specification
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Index Terms
- Design of High Capacity 8 colors Code based on Screen-Camera Communication
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Published In
November 2020
1202 pages
ISBN:9781450387811
DOI:10.1145/3443467
Copyright © 2020 ACM.
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Association for Computing Machinery
New York, NY, United States
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Published: 01 February 2021
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- Research-article
- Research
- Refereed limited
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EITCE 2020
EITCE 2020: 2020 4th International Conference on Electronic Information Technology and Computer Engineering
November 6 - 8, 2020
Xiamen, China
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EITCE '20 Paper Acceptance Rate 214 of 441 submissions, 49%;
Overall Acceptance Rate 508 of 972 submissions, 52%
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