Publication detail

Fast Detection and Recognition of QR codes in High-Resolution Images

SZENTANDRÁSI, I. HEROUT, A. JURÁNKOVÁ, M.

Original Title

Fast Detection and Recognition of QR codes in High-Resolution Images

English Title

Fast Detection and Recognition of QR codes in High-Resolution Images

Type

conference paper

Language

en

Original Abstract

This paper deals with detection and recognition of matrix codes, such as the QR~codes, in high-resolution images of real-world scenes.The goal is to provide a detector capable of operation in real time even on high-resolution images (several megapixels).We present an efficient algorithm for detection of possible occurrences of the codes.  This algorithm is characterized by a very low false negative rate and a reasonable false alarm rate.  The results of our algorithm are to be followed by an accurate detection/recognition algorithm. We propose to use a recent matrix code detection and recognition algorithm based on Hough transform, because it can reuse some information computed by our new pre-detection algorithm and thus a further reduce of computational demands can be achieved. Since there are no publicly available annotated datasets for evaluation of this kind of algorithm, we collected a number of images and annotated them; these images will be made publicly available to allow for a proper comparison.  Our algorithm was evaluated on this dataset and the results are reported in the paper.

English abstract

This paper deals with detection and recognition of matrix codes, such as the QR~codes, in high-resolution images of real-world scenes.The goal is to provide a detector capable of operation in real time even on high-resolution images (several megapixels).We present an efficient algorithm for detection of possible occurrences of the codes.  This algorithm is characterized by a very low false negative rate and a reasonable false alarm rate.  The results of our algorithm are to be followed by an accurate detection/recognition algorithm. We propose to use a recent matrix code detection and recognition algorithm based on Hough transform, because it can reuse some information computed by our new pre-detection algorithm and thus a further reduce of computational demands can be achieved. Since there are no publicly available annotated datasets for evaluation of this kind of algorithm, we collected a number of images and annotated them; these images will be made publicly available to allow for a proper comparison.  Our algorithm was evaluated on this dataset and the results are reported in the paper.

Keywords

QR code detection, Histogram of Oriented Gradients

RIV year

2012

Released

11.04.2012

Publisher

Comenius University in Bratislava

Location

Bratislava

ISBN

978-1-4503-1977-5

Book

Proceedings of 28th Spring conference on Computer Graphics

Edition

NEUVEDEN

Edition number

NEUVEDEN

Pages from

1

Pages to

8

Pages count

8

Documents

BibTex


@inproceedings{BUT91506,
  author="István {Szentandrási} and Adam {Herout} and Markéta {Juránková}",
  title="Fast Detection and Recognition of QR codes in High-Resolution Images",
  annote="This paper deals with detection and recognition of matrix codes, such as the
QR~codes, in high-resolution images of real-world scenes.The goal is to provide
a detector capable of operation in real time even on high-resolution images
(several megapixels).We present an efficient algorithm for detection of possible
occurrences of the codes.  This algorithm is characterized by a very low false
negative rate and a reasonable false alarm rate.  The results of our algorithm
are to be followed by an accurate detection/recognition algorithm. We propose to
use a recent matrix code detection and recognition algorithm based on Hough
transform, because it can reuse some information computed by our new
pre-detection algorithm and thus a further reduce of computational demands can be
achieved. Since there are no publicly available annotated datasets for evaluation
of this kind of algorithm, we collected a number of images and annotated them;
these images will be made publicly available to allow for a proper comparison.
 Our algorithm was evaluated on this dataset and the results are reported in the
paper.",
  address="Comenius University in Bratislava",
  booktitle="Proceedings of 28th Spring conference on Computer Graphics",
  chapter="91506",
  edition="NEUVEDEN",
  howpublished="print",
  institution="Comenius University in Bratislava",
  year="2012",
  month="april",
  pages="1--8",
  publisher="Comenius University in Bratislava",
  type="conference paper"
}