Decoding algorithm for color QR code: A mobile scanner application
Autor: | Ritesh Kumar, Nivedan Bhardwaj, Amol P. Bhondekar, Alka Jindal, Rupali Verma |
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Rok vydání: | 2016 |
Předmět: |
Scanner
Computer science business.industry 020207 software engineering Image processing 02 engineering and technology Open source 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Android (operating system) business Algorithm Decoding methods Computer hardware |
Zdroj: | 2016 International Conference on Recent Trends in Information Technology (ICRTIT). |
DOI: | 10.1109/icrtit.2016.7569561 |
Popis: | QR codes have revolutionized the industry because of its larger storage capacity and high damage resistance than the traditional barcodes. Color QR code is the future as it provides much higher encoding capacity that the typical B/W QR codes. We propose a color QR code decoding algorithm for mobile applications by considering the color profile of Red, Green and Blue channels respectively. We have developed a prototype by including various image processing techniques and the open source Zxing library. This paper presents an Android based color QR code decoder implementation and performance evaluation. Experimental results show the high success rate of the methodology implemented. |
Databáze: | OpenAIRE |
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