relation: http://publicatio.bibl.u-szeged.hu/8459/
title: Improved QR Code Localization Using Boosted Cascade of Weak Classifiers
creator:  Bodnár Péter
creator:  Nyúl László
description: 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.
publisher: Szegedi Tudományegyetem
date: 2015
type: Folyóiratcikk
type: PeerReviewed
format: text
identifier: http://publicatio.bibl.u-szeged.hu/8459/1/Bodnar_2015_ActaCybernetica.pdf
identifier:     Bodnár Péter;  Nyúl László: Improved QR Code Localization Using Boosted Cascade of Weak Classifiers.   Acta Cybernetica (Szeged), 22 (1).  pp. 21-33.  ISSN 0324-721X (2015)     
identifier: doi:10.14232/actacyb.22.1.2015.3
relation: http://www.inf.u-szeged.hu/actacybernetica/edb/vol22n1/pdf/Bodnar_2015_ActaCybernetica.pdf
relation: 2880697
language: eng
relation: info:eu-repo/semantics/altIdentifier/doi/10.14232/actacyb.22.1.2015.3
rights: info:eu-repo/semantics/openAccess