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Author
dc.contributor.author
Nemes, Krisztián 
Availability Date
dc.date.accessioned
2018-08-27T08:19:35Z
Availability Date
dc.date.available
2018-08-27T08:19:35Z
Release
dc.date.issued
2018
uri
dc.identifier.uri
http://hdl.handle.net/10831/38943
Language
dc.language.iso
magyarhu_HU
Title
dc.title
Elforgatott és ékezetes térképi megírások automatikus felismerésehu_HU
Type
dc.type
folyóiratcikk
Version
dc.description.version
megjelent változathu_HU
Language
dc.language.rfc3066
hun
Rights
dc.rights.holder
Magyar Földmérési, Térképészeti és Távérzékelési Társasághu_HU
Abstract in English
dc.description.abstracteng
Nowadays, maps are mostly stored in digital form. The next step is to vectorize them. Vectorizing maps manually can be a long process; however, we can utilize the computing speed of computers. Computer automation is a developing area which can be used to vectorize maps. In this work, I developed a very simple method to automatically recognize rotated characters and vectorize them, even when they are accented. It is based on a database, in which all the characters and symbols are stored. The method compares the characters on the map with those stored in the database, and returns the database character with the highest match. The result of the process is an output database, where all the recognized characters are stored with image coordinates and rotation angles. The method can connect characters which are close enough to each other according to certain parameters, and can return the word formed by these connected characters.hu_HU
Doi ID
dc.identifier.doi
10.30921/GK.70.2018.4.2
Issue Number
dc.identifier.issue
4hu_HU
Journal
dc.identifier.jtitle
Geodézia és Kartográfiahu_HU
Last Page
dc.identifier.lpage
11hu_HU
First Page
dc.identifier.spage
7hu_HU
Volume Number
dc.identifier.volume
70. évf.hu_HU
access
dc.rights.access
hozzáférhetőhu_HU
Keyword English
dc.subject.en
character recognitionhu_HU
Keyword English
dc.subject.en
text recognitionhu_HU
Keyword English
dc.subject.en
automatic vectorising mapshu_HU
Class
dc.type.genre
publikáció/alkotáshu_HU
Type
dc.type.resrep
tudományoshu_HU
Author
dc.contributor.inst
ELTE TTK PHD/Földtudományi D. I.hu_HU
Keywords
dc.subject.hu
automatikus betűfelismeréshu_HU
Keywords
dc.subject.hu
szövegfelismeréshu_HU
Keywords
dc.subject.hu
automatikus térkép-vektorizáláshu_HU
Type
dc.type.type
folyóiratcikkhu_HU
Release Date
dc.description.issuedate
2018hu_HU


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Elforgatott és ékezetes térképi megírások automatikus felismerése
 

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