Rectification of QR-code images using the parametric cylindrical surface model

Lay, Kuen‐Tsair; Wang, Lee-Jyi; Wang, Chun‐Hung

doi:10.1109/isne.2015.7132033

Cited by 10 publications

(4 citation statements)

References 2 publications

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“…How to handle this kind of combined distortion is a challenge for our future research. Lay et al [ 36 ] proposed a parametric cylindrical surface model for rectification of QR Codes printed on cylinders.…”

Section: Resultsmentioning

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: Resultsmentioning

confidence: 99%

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

2020

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“…Experiments show that the algorithm can effectively improve the twodimensional code recognition efficiency and effectiveness. [10] proposed a method of correcting and recognizing cylinder two-dimensional codes using cylinder parameters to solve the problem of identification when the two-dimensional code was printed on a cylindrical joint of a book. When collecting the two-dimensional code printed on the cylinder surface, due to distortion of the surface, a serious distortion occurs.…”

Section: Correlation Matchingmentioning

confidence: 99%

Design of Two-dimentional Code Anti-distortion on Conical Surface Based on Pre-stretching

You¹,

Cao²,

Gong³

et al. 2018

Proceedings of the 2018 International Conference on Mathematics, Modelling, Simulation and Algorithms (MMSA 2018)

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Two-dimensional code has shown its impressive performance on mobile payment and advertising marketing. To ensure that the two-dimensional code is correctly identified by recognition devices, the traditional two-dimensional code must be attached to the surface of the plane of the object. However, if attached to the surface of conical carrier, the image of the normal two-dimensional code will be compressed into distortion because of image projection, which will lead to identify problem. To this end, we propose a novel algorithm of anti-distortion twodimensional code on conical surface based on pre-stretching, to address the challenge of identifying two-dimensional code on conical carrier. According to the spatial geometric relation of the conic, pre-stretching the normal two-dimensional code image via inverse mapping to obtain the pre-deformed two-dimensional code which will be printed and then pasted on the surface of conic. Specifically, the image of the pre-stretched two-dimensional code in the projection plane of the acquisition device is just as the normal two-dimensional code, which will be correctly identified. To better demonstrate the method, we test it on experimental simulation.

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“…The methods proposed for the rectification of bent QR codes can be broadly divided into image-processing and neural network (NN) based approaches. Image-processing based methods include a perspective projection from the 3D coordinates of the bent QR code to the rectified image [1,4] and rectification equations obtained from the geometrical relationship between a cylindrical surface and the camera [5,6]. However, certain conditions are required, including knowledge of the radius of the cylinder [1,4] and the normal of the surface of the cylinder being perpendicular to the image plane of the camera [5,6].…”

Section: Introductionmentioning

confidence: 99%

“…Image-processing based methods include a perspective projection from the 3D coordinates of the bent QR code to the rectified image [1,4] and rectification equations obtained from the geometrical relationship between a cylindrical surface and the camera [5,6]. However, certain conditions are required, including knowledge of the radius of the cylinder [1,4] and the normal of the surface of the cylinder being perpendicular to the image plane of the camera [5,6]. In addition, various methods have employed linear transformation formulas for the rectification obtained from the correspondence of four vertices [7,8] and a transformation through the shape function [9], which expresses the deformation of a rectangle [10]; however, these methods have an accuracy problem when the curvature is large.…”

Section: Introductionmentioning

confidence: 99%

Detection and rectification method for bent QR code recognition using convolutional neural networks

Tanaka

2023

Eng. Res. Express

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This paper proposes a method for decoding a bent quick-response code attached to a cylinder. The proposed method consists of two-stage image rectification using the shape function employed in a finite-element-method-based deformation analysis and a pix2pix network, which is a type of generative adversarial network. Rectification based on the shape function requires eight feature points, called nodes, of the bent code. A stacked hourglass network, a convolutional neural network used for human pose estimation, is used to detect these eight nodes. The experimental results show that, compared with other methods, the proposed method can more accurately decode bent codes with larger degrees of curvature.

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Rectification of QR-code images using the parametric cylindrical surface model

Cited by 10 publications

References 2 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

Design of Two-dimentional Code Anti-distortion on Conical Surface Based on Pre-stretching

Detection and rectification method for bent QR code recognition using convolutional neural networks

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