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undergraduate thesis
Sustav za raspoznavanje znakovnog jezika
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. urn:nbn:hr:168:723803
Tomažin, Nikola
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Tomažin, N. (2019). Sustav za raspoznavanje znakovnog jezika (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:723803

Tomažin, Nikola. "Sustav za raspoznavanje znakovnog jezika." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:723803

Tomažin, Nikola. "Sustav za raspoznavanje znakovnog jezika." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:723803

Tomažin, N. (2019). 'Sustav za raspoznavanje znakovnog jezika', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 13 January 2025, https://urn.nsk.hr/urn:nbn:hr:168:723803

Tomažin N. Sustav za raspoznavanje znakovnog jezika [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2025 January 13] Available at: https://urn.nsk.hr/urn:nbn:hr:168:723803

N. Tomažin, "Sustav za raspoznavanje znakovnog jezika", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:723803

Metadata
TitleSustav za raspoznavanje znakovnog jezika
Title (english)System for Sign Language Recognition
AuthorNikola Tomažin
MentorTomislav Hrkać (mentor)
Committee memberTomislav Hrkać (predsjednik povjerenstva)
Committee memberMarin Oršić (član povjerenstva)
Committee memberIvan Grubišić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2019-07-12, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Broj ljudi koji koristi znakovni jezik je svakako značajan te bi se čitanje istog računalnim vidom moglo olakšati ljudima koji koriste taj jezik za komunikaciju ili sasvim suprotno, onima koji nisu upoznati s njime, a žele biti dio komunikacije. Prevođenje abecede korak je k tome. U ovom radu prikazan je način rada neuronskih mreža kod problema raspoznavanja jednoručnih i dvoručnih znakova hrvatske znakovne abecede. Objašnjena su dva pristupa problemu (histogram boje ruke, oduzimanje pozadine) te postupak pripreme i nadopunjavanja skupa podataka. Na kraju su analizirana ponašanja implementiranog sustava, prikazani problemi kod prepoznavanja te opisana uputstva za korištenje programa.
Abstract (english)
The number of people who use sign langauge is certantly significant and reading it using computer vision would make it easier from people who use it to communicate or, contrarily, those who are unfamiliar with it and want to be part of communication. Translating the alphabet is a step to it. This paper presents the way neural networks work in problems of recognizing letters of the Croatian sign language alphabet. Two approaches(hand histogram, background substraction) are explained as well as the procedure for preparing and upgrading the dataset. Finally, the behaviors of the implemented system were analyzed, recognition problems were described and the instructions for use of the program were shown.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:723803
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2020-01-07 22:39:23