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http://dx.doi.org/10.6109/jkiice.2019.23.3.267

Recognition Performance Improvement of QR and Color Codes Posted on Curved Surfaces  

Kim, Jin-soo (Department of Info. & Comm. Engineering, Hanbat National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.23, no.3, 2019 , pp. 267-275 More about this Journal
Abstract
Currently, due to the widespread use of a smartphone, QR codes allow users to access a variety of added services. However, the QR codes posted on curved surfaces tend to be non-uniformly illuminated and bring about the decline of recognition rate. So, in this paper, the block-adaptive binarization policy is adopted to find an optimal threshold appropriate for bimodal image like QR codes. For a large block, its histogram distribution is found to get an initial threshold and then the block is partitioned to reflect the local characteristics of small blocks. Also, morphological operation is applied to their neighboring boundary at the discontinuous at the QR code junction. This paper proposes an authentication method based on the color code, uniquely painted within QR code. Through a variety of practical experiments, it is shown that the proposed algorithm outperforms the conventional method in detecting QR code and also maintains good recognition rate up to 40 degrees on curved surfaces.
Keywords
QR code; Color Code; Curved Surface; Recognition Rate; Unrecognized Rate;
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Times Cited By KSCI : 4  (Citation Analysis)
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