Raspoznavanje živosti

undergraduate thesis

• Title (english): Liveness detection
• Author: Robert Holovka
• Mentor: Igor Sunday Pandžić (mentor)
• Committee member: Igor Sunday Pandžić (predsjednik povjerenstva)
• Committee member: Nenad Markuš (član povjerenstva)
• Committee member: Ivan Gogić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2017-09-13, 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: raspoznavanje živosti; karakteristične točke lica; praćenje; detekcija; standardna devijacija
• Keywords (english): liveness detection; facial feature points; tracking; detection; standard deviation
• Language: croatian
• URN:NBN: urn:nbn:hr:168:869440
• Study programme: Title: 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 resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2019-03-13 20:49:34