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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F12%3APU98214" target="_blank" >RIV/00216305:26230/12:PU98214 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

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

Popis výsledku anglicky

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

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

<a href="/cs/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: Centrum excelence IT4Innovations</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of 28th Spring conference on Computer Graphics

ISBN

978-1-4503-1977-5

ISSN

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e-ISSN

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Počet stran výsledku

8

Strana od-do

1-8

Název nakladatele

Comenius University in Bratislava

Místo vydání

Bratislava

Místo konání akce

Smolenice

Datum konání akce

2. 5. 2012

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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