Abstract:
Color brings extra data capacity for QR codes, but it also brings tremendous challenges to the decoding because of color interference and illumination variation, especial...View moreMetadata
Abstract:
Color brings extra data capacity for QR codes, but it also brings tremendous challenges to the decoding because of color interference and illumination variation, especially for high-density QR codes. In this paper, we put forth a framework for high-capacity QR codes, HiQ, which optimizes the decoding algorithm for high-density QR codes to achieve robust and fast decoding on mobile devices, and adopts a learning-based approach for color recovery. Moreover, we propose a robust geometric transformation algorithm to correct the geometric distortion. We also provide a challenging color QR code dataset, CUHK-CQRC, which consists of 5390 high-density color QR code samples captured by different smartphones under different lighting conditions. Experimental results show that HiQ outperforms the baseline [1] by 286% in decoding success rate and 60% in bit error rate.
Date of Conference: 25-28 September 2016
Date Added to IEEE Xplore: 19 August 2016
ISBN Information:
Electronic ISSN: 2381-8549