01170nas a2200145   4500008004100000245006700041210006700108260005000175520059600225100002000821700002800841700001900869700002300888856011300911       2014                        eng d00aQR Code Localization Using Boosted Cascade of Weak Classifiers0 aQR Code Localization Using Boosted Cascade of Weak Classifiers  aVilamura, PortugalbSpringer-VerlagcOct 20143 a<p>Usage of computer-readable visual codes became common in oureveryday life at industrial environments and private use. The reading process of visual codes consists of two steps: 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.</p>1 aBodnár, Péter1 aNyúl, László, Gábor1 aKamel, Mohamed1 aCampilho, Aurélio  uhttps://home.inf.u-szeged.hu/en/publication/qr-code-localization-using-boosted-cascade-of-weak-classifiers-0