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Title:
Uporaba tehnologije optičnega prepoznavanja znakov v aplikacijah Windows 10
Authors:
ID
Deželak, Marko
(
Author
)
ID
Verber, Domen
(
Mentor
)
More about this mentor...
Files:
VS_Dezelak_Marko_2017.pdf
(6,17 MB)
MD5: 674CC5A141A8ACDC49210D40B8D91B3D
PID:
20.500.12556/dkum/b4ae256c-235e-4d7e-8944-5a2ad374ebe3
Language:
Slovenian
Work type:
Bachelor thesis/paper
Typology:
2.11 - Undergraduate Thesis
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
V začetku diplomskega dela smo predstavili tehnologijo optičnega prepoznavanja znakov, opisali njene začetke ter podrobneje predstavili postopke in metodo prepoznavanja znakov. V nadaljevanju smo se osredotočili na operacijski sistem Windows 10, njegovo digitalno trgovino Windows Store in aplikacije namenjene optični prepoznavi znakov, katere smo pregledali in preizkusili njihovo delovanje. Nato smo z orodjem Visual Studio izdelali aplikacijo, v njej predstavili delovanje brezplačnih programskih knjižnic jih testirali in primerjali rezultate uspešnosti z obstoječimi rešitvami.
Keywords:
optično prepoznavanje znakov
,
Windows 10
,
Windows 10 aplikacije
Place of publishing:
[Maribor
Publisher:
M. Deželak
Year of publishing:
2017
PID:
20.500.12556/DKUM-67763
UDC:
004.932.75'1(043.2)
COBISS.SI-ID:
20958742
NUK URN:
URN:SI:UM:DK:SDCPO1PR
Publication date in DKUM:
09.10.2017
Views:
1660
Downloads:
180
Metadata:
Categories:
KTFMB - FERI
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Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:
30.08.2017
Secondary language
Language:
English
Title:
Use of optical character recognition technology within Windows 10 applications
Abstract:
At the beginning of the thesis, we introduced optical character recognition technology, described its beginnings, and presented in more detail the procedures and method of character recognition. In the following work, we focused on operating system Windows 10, Windows Store and its applications for optical character recognition which we reviewed and tested for their performance. Then, with Visual Studio, we created an application and presented free libraries that enable optical character recognition. At the end, we compared results with the known solutions
Keywords:
optical cahracter recognition
,
Windows 10
,
windos 10 applications
,
OCR
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