Authors:
Peter Bodnar
and
László Nyúl
Affiliation:
University of Szeged, Hungary
Keyword(s):
QR Code, Object Detection, Pattern Recognition, Image Texture Analysis, Histogram.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Features Extraction
;
Image and Video Analysis
Abstract:
Usage of computer-readable visual codes is common in everyday life. The reading process of visual codes
consists of two steps, localization and data decoding. This paper introduces a fast and robust method for
localization of visual codes using Fuzzy Inference Systems based on simplistic, attentive features which can
be optionally extended with cell histograms. Input image properties, assigned membership functions and
efficiency of the system has been evaluated and discussed, showing FIS is a viable alternative for rapid QR
code recognition in the image domain. The basic approach can be also used with lookup tables, that speeds up
image cell evaluation and makes it ideal for embedded systems.