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

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Bibliographic Details
Title: Identification of QR Code Perspective Distortion Based on Edge Directions and Edge Projections Analysis
Authors: Ladislav Karrach, Elena Pivarčiová, Pavol Božek
Source: Journal of Imaging, Vol 6, Iss 67, p 67 (2020)
Publisher Information: MDPI AG
Publication Year: 2020
Collection: Directory of Open Access Journals: DOAJ Articles
Subject Terms: QR Code recognition, Quick Response Code localization, adaptive thresholding, finder pattern, perspective distortion, edge projections, Photography, TR1-1050, Computer applications to medicine. Medical informatics, R858-859.7, Electronic computers. Computer science, QA75.5-76.95
Description: 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.
Document Type: article in journal/newspaper
Language: English
Relation: https://www.mdpi.com/2313-433X/6/7/67; https://doaj.org/toc/2313-433X; https://doaj.org/article/94b22dc1b84d47dd98cacf7ea979d0d3
DOI: 10.3390/jimaging6070067
Availability: https://doi.org/10.3390/jimaging6070067
https://doaj.org/article/94b22dc1b84d47dd98cacf7ea979d0d3
Accession Number: edsbas.2ECB3B05
Database: BASE
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