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master's thesis
Utjecaj predobrade ulaznih datoteka na točnost optičkog prepoznavanja znakova
Zagreb: University of Zagreb, University of Zagreb, Faculty of Humanities and Social Sciences, 2019. urn:nbn:hr:131:614062
Majnarić, Mirela
University of Zagreb
Faculty of Humanities and Social Sciences
Department of information and Communication sciences

Institutional repository: ODRAZ

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Majnarić, M. (2019). Utjecaj predobrade ulaznih datoteka na točnost optičkog prepoznavanja znakova (Master's thesis). Zagreb: University of Zagreb, Faculty of Humanities and Social Sciences. Retrieved from https://urn.nsk.hr/urn:nbn:hr:131:614062

Majnarić, Mirela. "Utjecaj predobrade ulaznih datoteka na točnost optičkog prepoznavanja znakova." Master's thesis, University of Zagreb, Faculty of Humanities and Social Sciences, 2019. https://urn.nsk.hr/urn:nbn:hr:131:614062

Majnarić, Mirela. "Utjecaj predobrade ulaznih datoteka na točnost optičkog prepoznavanja znakova." Master's thesis, University of Zagreb, Faculty of Humanities and Social Sciences, 2019. https://urn.nsk.hr/urn:nbn:hr:131:614062

Majnarić, M. (2019). 'Utjecaj predobrade ulaznih datoteka na točnost optičkog prepoznavanja znakova', Master's thesis, University of Zagreb, Faculty of Humanities and Social Sciences, accessed 18 May 2024, https://urn.nsk.hr/urn:nbn:hr:131:614062

Majnarić M. Utjecaj predobrade ulaznih datoteka na točnost optičkog prepoznavanja znakova [Master's thesis]. Zagreb: University of Zagreb, Faculty of Humanities and Social Sciences; 2019 [cited 2024 May 18] Available at: https://urn.nsk.hr/urn:nbn:hr:131:614062

M. Majnarić, "Utjecaj predobrade ulaznih datoteka na točnost optičkog prepoznavanja znakova", Master's thesis, University of Zagreb, Faculty of Humanities and Social Sciences, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:131:614062

Metadata
TitleUtjecaj predobrade ulaznih datoteka na točnost optičkog prepoznavanja znakova
Title (english)The effects of the image pre-processing on the OCR accuracy
AuthorMirela Majnarić
MentorHrvoje Stančić (mentor)
Committee memberTomislav Ivanjko (predsjednik povjerenstva)
Committee memberJozo Ivanović (član povjerenstva)
Committee memberHrvoje Stančić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Humanities and Social Sciences
(Department of information and Communication sciences)
Zagreb
Defense date and country2019-09-25, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Library Science
Abstract
Digitalizacija tekstualne građe danas je široko zastupljena u različitim domenama ljudskih djelatnosti. Najčešće se provodi skeniranjem ili fotografiranjem građe te upotrebom specijaliziranih programa za optičko prepoznavanje znakova. Na taj se način dobiva elektronička građa koju je moguće pregledavati, pretraživati i uređivati. Točnost dobivenih izlaznih podataka ovisi brojnim faktorima, a neki od njih su kvaliteta izvornika, razlučivost skeniranja, odabrani slikovni format, bitna dubina boje, ali i korišteni OCR softver. I postupak binarizacije, odnosno konverzije višebojne slike u crno-bijelu, utječe na rezultate optičkog prepoznavanja znakova. Binarizacija se obično provodi prilikom skeniranja ili kao jedan od koraka pri optičkom prepoznavanju znakova, a moguće ju je provesti i u nekom od programa za obradu slike prije korištenja OCR softvera. Cilj ovog rada jest istražiti utjecaj predobrade ulaznih datoteka na točnost optičkog prepoznavanja znakova s obzirom na navedene faktore. Točnost tekstova dobivenih primjenom OCR softvera ispitana je ISRI analitičkim alatima te je izražena postotkom ispravno prepoznatih znakova.
Abstract (english)
Digitization of textual materials is nowadays widely used in different domains of human activities. It is most commonly done by scanning or taking photos of the original source followed by using specialized software for optical character recognition. The result of this procedure is an electronic text which can be browsed, searched and edited. The OCR accuracy of the recognized text depends on numerous factors, including quality of the source materials, scanning resolution, chosen image file format, image bit depth as well as the OCR software used in the text recognition process. Image binarization or thresholding, a procedure in which a greyscale or colour image is converted into its bitonal variant, can also influence the OCR results. Binarization usually takes place during scanning or as a step in the OCR procedure, but it can also be accomplished by using a raster graphics editor, before the usage of the OCR software. The aim of this diploma thesis is to examine the effects of image pre-processing on OCR accuracy taking into account the above-mentioned factors. The OCR accuracy of the output texts was checked by ISRI Analytic Tools and is expressed as a percentage of correctly recognized characters.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:131:614062
Study programmeTitle: Information Sciences; specializations in: Library Science
Course: Library Science
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra bibliotekarstva (magistar/magistra bibliotekarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Public noteIzvanredni studij
Created on2019-10-22 12:47:18