High Information Rate and Efficient Color Barcode Decoding

Bagherinia, Homayoun; Manduchi, Roberto

doi:10.1007/978-3-642-33868-7_48

Cited by 6 publications

(24 citation statements)

References 9 publications

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“…Their method classifies the colors without using reference colors. They also expanded their approach [4] by considering a small number of reference colors to maximize content space of the color barcode.…”

Section: Related Workmentioning

confidence: 99%

A novel approach for color barcode decoding using smart phones

Bagherinia

Manduchi

2014

2014 IEEE International Conference on Image Processing (ICIP)

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The use of colors increases the information storage capacities in barcodes. Increasing the number of colors to encode information makes the decoding a challenging task due to the dependency of the surface color on the illuminant spectrum, viewing parameters, printing device and material, color fading in addition to other nuisance parameters. A popular solution is the use of a color palette of reference colors printed with barcode. The decoding becomes more challenging if a mobile phone as a decoding device is used due to the capture of images from different distances as well as angles. In addition, the barcode images are often blurry because of incorrect focus or camera shake. We present an iterative decoding algorithm that decodes the colors of all barcode patches across the barcode by minimizing the overall observation error. Our method is able to decode colors in presence of blur using a small number of colors yet ensuring high information density.Index Terms-Color barcode decoding, color mixing, blur problem

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Section: Related Workmentioning

confidence: 99%

A novel approach for color barcode decoding using smart phones

Bagherinia

Manduchi

2014

2014 IEEE International Conference on Image Processing (ICIP)

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“…For example, one may compare each color patch to the reference colors, and select the reference color that is closest to the color of the patch. At the same time, displaying all colors in the palette may be counterproductive, in terms of information rate, when large palettes are used [2]. In other words, for large palette size N , the savings produced by a large variety of color palette are offset by the need to display all colors in the palette.…”

Section: Introductionmentioning

confidence: 99%

“…In other words, for large palette size N , the savings produced by a large variety of color palette are offset by the need to display all colors in the palette. Based on this observation, Bagherinia and Manduchi [2] proposed the use of fairly large palettes with a limited number of reference colors displayed in the barcode. Rather than comparing a color patch to a reference color, they modeled the joint color variation of the patch and of the reference colors under varying illuminant by a low-dimensional linear space.…”

Section: Introductionmentioning

confidence: 99%

“…The linear model of [2] was built under the assumption of Lambertian surface reflectance, and thus is liable to failure when substantial specular reflection is present in the image. Since the barcode material (e.g.…”

Section: Introductionmentioning

confidence: 99%

“…Our goal in this work was to extend the model of Bagherinia and Manduchi to explicitly account for specular reflection. We use the dichromatic model [3] to describe the appearance of a surface under specular reflection, and show how this can be included in the subspace-based decoding approach of [2], which is augmented based on the observed color of a white patch. The experimental results on images taken under a wide variety of illuminants and viewing angles show a substantial improvement (in terms of reduced decoding error rate) with respect to the original system that assumed Lambertian surface reflectance.…”

Section: Introductionmentioning

confidence: 99%

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Color Barcode Decoding in the Presence of Specular Reflection

Bagherinia

Manduchi

2015

Computer Vision - ECCV 2014 Workshops

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Color barcodes enable higher information density with respect to traditional black and white barcodes. Existing technologies use small color palettes and display the colors in the palette in the barcode itself for easy and robust decoding. This solution comes at the cost of reduced information density due to the fact that the displayed reference colors cannot be used to encode information. We introduce a new approach to color barcode decoding that uses a relatively large palettes (up to 24 colors) and a small number of reference colors (2 to 6) to be displayed in a barcode. Our decoding method specifically accounts for specular reflections using a dichromatic model. The experimental results show that our decoding algorithm achieves higher information rate with a very low probability of decoding error compared to previous approaches that use a color palette for decoding.

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A dataset for illuminant- and device- invariant colour barcode decoding with cameras

Lecca,

Lecca

2024

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High Information Rate and Efficient Color Barcode Decoding

Cited by 6 publications

References 9 publications

A novel approach for color barcode decoding using smart phones

A novel approach for color barcode decoding using smart phones

Color Barcode Decoding in the Presence of Specular Reflection

A dataset for illuminant- and device- invariant colour barcode decoding with cameras

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