Detail publikace

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

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

Originální název

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

Anglický název

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

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

Dokumenty

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"
}