OPTICAL CHARACTER DETECTION ON INDUSTRIAL PRODUCTS

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F19%3A10244488" target="_blank" >RIV/61989100:27360/19:10244488 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
OPTICAL CHARACTER DETECTION ON INDUSTRIAL PRODUCTS
Original language description
The article deals with the acquisition of character positions from the input image and with modifications to increase the accuracy of recognition that precedes it. As the input image is meant a camera output or a photo of text information in the surface on different types of blanks. The input image itself contains many defects, for example noise, holes, light reflection, uneven surface caused by cutting or welding etc. All of these defects have to be eliminated to increase the accuracy of the algorithms for image recognition. In the article, there are described methods of improving the input image, which are suitable for all types of text, but it is mainly aimed at industrial products and materials that exhibit a large percentage of defects caused by metallurgical processes.
Czech name
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Czech description
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Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
METAL 2019 : conference proceedings : peer reviewed : 28th International Conference on Metallurgy and Materials : May 22nd-24th 2019, Hotel Voronez I, Brno, Czech Republic, EU
ISBN
978-80-87294-92-5
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
1820-1824
Publisher name
Tanger
Place of publication
Ostrava
Event location
Brno
Event date
May 22, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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