3 research outputs found
Improved QR code localization using boosted cascade of weak classifiers
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
Improved QR Code Localization Using Boosted Cascade of Weak Classifiers
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