Binary Large Object-Based Approach for QR Code Detection in Uncontrolled Environments

López-Rincón, Omar; Starostenko, Oleg; Alarcón-Aquino, Vicente; Galan-Hernandez, J. C.

doi:10.1155/2017/4613628

Cited by 12 publications

(9 citation statements)

References 21 publications

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“…In the following paragraphs, we will give a brief overview of two methods for locating QR Codes which are based on finding three typical patterns—finder patterns—in the corners of the QR Code [ 5 , 20 ]. These three finder patterns also identify the three corner points of the QR Code bounding box.…”

Section: The Finder Pattern Localization Methodsmentioning

confidence: 99%

Identification of QR Code Perspective Distortion Based on Edge Directions and Edge Projections Analysis

2020

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QR (quick response) Codes are one of the most popular types of two-dimensional (2D) matrix codes currently used in a wide variety of fields. Two-dimensional matrix codes, compared to 1D bar codes, can encode significantly more data in the same area. We have compared algorithms capable of localizing multiple QR Codes in an image using typical finder patterns, which are present in three corners of a QR Code. Finally, we present a novel approach to identify perspective distortion by analyzing the direction of horizontal and vertical edges and by maximizing the standard deviation of horizontal and vertical projections of these edges. This algorithm is computationally efficient, works well for low-resolution images, and is also suited to real-time processing.

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Section: The Finder Pattern Localization Methodsmentioning

confidence: 99%

Identification of QR Code Perspective Distortion Based on Edge Directions and Edge Projections Analysis

2020

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“…Advances in barcode recognition have contributed to the definition of edge detection thresholds, segmentation enhancements for 2D barcodes in text-dense environments, and improvements in rotation handling and positioning accuracy [11][12][13][14][15][16]. In general, traditional image processing techniques fall short in complex environments.…”

Section: Introductionmentioning

confidence: 99%

Enhancement of Two-Dimensional Barcode Restoration Based on Recurrent Feature Reasoning and Structural Fusion Attention Mechanism

Yi,

Chen

2024

Electronics

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In practical scenarios, such as in electronics, where barcodes on electronic component carriers often wear out, and in logistics, where package labels frequently get damaged, this type of damage makes the recognition of two-dimensional (2D) barcodes challenging. In this study, a new repair method was introduced for quick response (QR) and PDF417 codes. In addition, a structural fusion attention (SFA) mechanism with a recurrent feature reasoning network was integrated to enhance structural integrity and recognition rates. The proposed method significantly outperforms existing inpainting models in terms of accuracy and robustness, which is demonstrated by the custom dataset provided by the authors. Notably, the approach ensures near-perfect recognition rates despite extensive structural impairments. It achieves an accuracy of 98% for large-area PDF417 occlusions and maintains a recognition rate of 100% for QR codes with 75–90% structural damage. These findings highlight the exceptional ability of the proposed method to restore 2D barcodes impaired by diverse levels of structural occlusion.

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“…However, conventionally all codes are still placed on the surfaces of objects. As a result, the label surface used will interact directly with its environment and be affected by it [7]. In extreme conditions, these direct environmental influences can damage the barcode material, resulting in the code being unable to be read again.…”

Section: Introductionmentioning

confidence: 99%

Invisible barcode method base on NDT photoacoustic imaging

Setiawan

Mitrayana

2022

J. Inst.

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The use of barcode technology has spread in many fields since it is cheaper and easier to use. To date, the barcode technology is applied by placing a code on a label surface. This makes access easier but also increases security risks. Security breaches can occur either due to physical damage to the code or code hijacking for inappropriate purposes. This paper reports the development of the subsurface barcode coding method by utilizing Non-Destructive Testing (NDT) photoacoustic imaging. Referring to the Rosencwig-Gersho theory, photoacoustics can image the subsurface conditions by adjusting the thermal conductivity length. In this experiment, a number of cavities representing barcodes were embedded in a metal object. The experimental results show that this method can decode the 3-digit Flattermarken code embedded in a 1 mm thick metal object again. The success of this new method is expected to open up more opportunities for barcodes that are more secure and resistant to tampering.

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Binary Large Object-Based Approach for QR Code Detection in Uncontrolled Environments

Cited by 12 publications

References 21 publications

Identification of QR Code Perspective Distortion Based on Edge Directions and Edge Projections Analysis

Identification of QR Code Perspective Distortion Based on Edge Directions and Edge Projections Analysis

Enhancement of Two-Dimensional Barcode Restoration Based on Recurrent Feature Reasoning and Structural Fusion Attention Mechanism

Invisible barcode method base on NDT photoacoustic imaging

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