Improved QR code localization using boosted cascade of weak classifiers

Bodnár, Péter and Nyúl, László G.: Improved QR code localization using boosted cascade of weak classifiers. Acta cybernetica, (22) 1. pp. 21-33. (2015)

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Abstract

Usage of computer-readable visual codes became common in our everyday life at industrial environments and private use. The reading process of visual codes consists of two tasks: localization and data decoding. Unsupervised localization is desirable at industrial setups and for visually impaired people. This paper examines localization efficiency of cascade classifiers using Haar-like features, Local Binary Patterns and Histograms of Oriented Gradients, trained for the finder patterns of QR codes and for the whole code region as well, and proposes improvements in post-processing.

Item Type: Article
Journal or Publication Title: Acta cybernetica
Date: 2015
Volume: 22
Number: 1
Page Range: pp. 21-33
ISSN: 0324-721X
Language: angol
DOI: https://doi.org/10.14232/actacyb.22.1.2015.3
Uncontrolled Keywords: Informatika kódolás
Additional Information: Bibliogr.: p. 32-33.
Date Deposited: 2016. Oct. 17. 10:36
Last Modified: 2018. Jun. 06. 18:08
URI: http://acta.bibl.u-szeged.hu/id/eprint/36003

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