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undergraduate thesis
Raspoznavanje živosti
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. urn:nbn:hr:168:869440
Holovka, Robert
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Holovka, R. (2017). Raspoznavanje živosti (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:869440

Holovka, Robert. "Raspoznavanje živosti." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:869440

Holovka, Robert. "Raspoznavanje živosti." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:869440

Holovka, R. (2017). 'Raspoznavanje živosti', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 August 2024, https://urn.nsk.hr/urn:nbn:hr:168:869440

Holovka R. Raspoznavanje živosti [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2017 [cited 2024 August 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:869440

R. Holovka, "Raspoznavanje živosti", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:168:869440

Metadata
TitleRaspoznavanje živosti
Title (english)Liveness detection
AuthorRobert Holovka
MentorIgor Sunday Pandžić (mentor)
Committee memberIgor Sunday Pandžić (predsjednik povjerenstva)
Committee memberNenad Markuš (član povjerenstva)
Committee memberIvan Gogić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2017-09-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Biometrijske identifikacijske tehnologije poprimaju sve veći značaj u današnjem svijetu. Jedan od takvih primjera tehnologija jest prepoznavanje lica korisnika. Prepoznavanje lica je ranjiv sustav jer se može lako prevariti podmetanjem fotografije ciljane osobe, stoga je dodatno potrebno implementirati sustav za raspoznavanje živosti. Raspoznavanje živosti znači razlikovanje stvarnog čovjeka od slike s ciljem sprečavanja varanja automatskih sustava za provjeru identiteta podmetanjem slike. Tema ovog rada je vlastita implementacija sustava za raspoznavanje živosti. Implementirani sustav zahtjeva od korisnika da učini određene radnje tijekom procesa dokazivanja živosti, te se prati korisnikovo oko i karakteristične točke usni.
Abstract (english)
Biometric identification technologies are gaining even greater importance in today's world. One of the examples of these technologies is face recognition. Face recognition is a vulnerable system because it can be easily deceived by capturing a photograph of a targeted person, so it is also necessary to implement a liveness detection system. Understanding the liveness detection means distinguishing the actual man from the image with the aim of preventing the cheating of automatic systems for identity verification by insinuating an image. The theme of this paper is about my own implementation of liveness detection system. The system requests from user to perform certain facial actions during the process of proofing the liveness. In such system, user's eyes are tracked, aswell as characteristic points of the lips.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:869440
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 on2019-03-13 20:49:34