A novel approach for color barcode decoding using smart phones

Bagherinia, Homayoun; Manduchi, Roberto

doi:10.1109/icip.2014.7025517

Cited by 7 publications

(4 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An iterative decoding algorithm in the presence of blur was presented by Bagherinia and Manduchi (2014a), yet using a small number of colors. Here the blur was assumed to be uniform.…”

Section: Current Status Of the Knowledgementioning

confidence: 99%

Color Barcodes from Debut to Present: A Broad Survey on the State of the Art

SİRMEN

Ustundag

2023

Alphanumeric Journal

View full text Add to dashboard Cite

Efficiently transferring information, which is of major importance for almost all engineering systems, requires a data representative appropriate to maintain the density and consistency of the information dispatched. As such a machine-readable representation of data, barcodes are one of the most recognized and powerful instruments of the purpose in every domain. Likewise, from the perspective of engineering, colors are excellent sources of information exchange, since the transmission of color connotes the conveyance of its entire scalar attributes in the same spatial channel component. Exerting colors on barcodes as an effective way of bursting the data conveyance capacity has been an active area of research for over 50 years. Significant progress has been achieved through efforts in this regard. It is also envisagable that the evident evolution in related technologies exoterically empowers the enhancement of color barcode capabilities as capacity and reliability, thereby further encouraging prospected research in this direction. Herein, a comprehensive survey of the studies on this main area of interest is presented. To help better acquainted with the field, also a taxonomy of the peculiar interference sources and distortion effects is provided, besides, the 3D barcoding process itself and the research areas are described. Most of the relevant works from debut to the present are broadly examined. Rather than presenting a timeline, studies that pertain to similar issues are addressed together. Amongst those related, premising or pivotal ones are preferably cited as far as feasible. Moreover, all perused works are analyzed by the research areas and the results are presented. Also, the issues relatively more prominent as affecting the performance of the whole process are specified. In the conclusion, some of the research subjects that appear open, scarce, or require further elaboration were remarked on as well. It is anticipated this study to contribute to the efforts toward leveraging color in barcodes.

show abstract

“…An iterative decoding algorithm in the presence of blur was presented by Bagherinia and Manduchi (2014a), yet using a small number of colors. Here the blur was assumed to be uniform.…”

Section: Current Status Of the Knowledgementioning

confidence: 99%

Color Barcodes from Debut to Present: A Broad Survey on the State of the Art

SİRMEN

Ustundag

2023

Alphanumeric Journal

View full text Add to dashboard Cite

show abstract

“…There are many types of 2-D Code [11,12], each of which, has its unique structure. The structure of the QR code is shown in Fig.…”

Section: A Types Of Two Dimensional Codementioning

confidence: 99%

Improving Performance of the Multiplexed Colored QR Codes

El-Sheref¹,

Fatma²,

Ahmed³

2020

IJACSA

View full text Add to dashboard Cite

The vast popularity and useful applications of the QR code were the incentives that encourage the research towards improving its storage capacity and performance. A colored quick response (QR) algorithm is proposed, devised and tested to expand the capacity of the black and white modules to hold colored modules that can fold as many as those available in the 8 bits red-Green-Blue (RGB) color code. Fast Multiplexing Technique (FMT) is established to improve the performance and the storage capacity of the QR color code by multiplexing the black/white QR codes into RGB color shades then folding them into the QR code Modules. Comparative experiments with the classical multiplexing technique-MUX system-proved that FMT has a much better performance, (exponentially faster), while maintaining the capacity multitude to 24 folds that of the classical QR code.

show abstract

“…Their method uses 15-dim or 27-dim feature both in training and testing which is prohibitively time-consuming for mobile devices in real-world applications. To decode color barcodes from blurry images, H. Bagherinia and R. Manduchi [19] propose an iterative method to address the blur-induced color mixing from neighboring color patches. However, their method takes more than 7 seconds on a desktop with Intel i5-2520M CPU @ 2.50GHz to process a single image, which is completely unacceptable for mobile applications.…”

Section: Related Workmentioning

confidence: 99%

Robust and Fast Decoding of High-Capacity Color QR Codes for Mobile Applications

Yang

Deng

et al. 2018

IEEE Trans. on Image Process.

View full text Add to dashboard Cite

The use of color in QR codes brings extra data capacity, but also inflicts tremendous challenges on the decoding process due to chromatic distortion-cross-channel color interference and illumination variation. Particularly, we further discover a new type of chromatic distortion in high-density color QR codes-cross-module color interference-caused by the high density which also makes the geometric distortion correction more challenging. To address these problems, we propose two approaches, LSVM-CMI and QDA-CMI, which jointly model these different types of chromatic distortion. Extended from SVM and QDA, respectively, both LSVM-CMI and QDA-CMI optimize over a particular objective function and learn a color classifier. Furthermore, a robust geometric transformation method and several pipeline refinements are proposed to boost the decoding performance for mobile applications. We put forth and implement a framework for high-capacity color QR codes equipped with our methods, called HiQ. To evaluate the performance of HiQ, we collect a challenging large-scale color QR code dataset, CUHK-CQRC, which consists of 5390 high-density color QR code samples. The comparison with the baseline method [2] on CUHK-CQRC shows that HiQ at least outperforms [2] by 188% in decoding success rate and 60% in bit error rate. Our implementation of HiQ in iOS and Android also demonstrates the effectiveness of our framework in real-world applications.

show abstract

A novel approach for color barcode decoding using smart phones

Cited by 7 publications

References 6 publications

Color Barcodes from Debut to Present: A Broad Survey on the State of the Art

Color Barcodes from Debut to Present: A Broad Survey on the State of the Art

Improving Performance of the Multiplexed Colored QR Codes

Robust and Fast Decoding of High-Capacity Color QR Codes for Mobile Applications

Contact Info

Product

Resources

About