20.500.12556/DKUM-85705 Razvoj sistema za prepoznavanje obrazov Development of a facial recognition system V magistrskem delu smo opisali problem razvoja sistemov za prepoznavanje obrazov. Sistemi za prepoznavanje obrazov morajo poleg ločevanja med obrazi različnih oseb za mnoge primere uporabe, kot je na primer kontrola dostopa, biti sposobni ločiti med resničnimi in lažnimi obrazi (npr. natisnjena fotografija). Brez sposobnosti zaznave lažnih obrazov imajo sistemi za prepoznavanje obrazov veliko ranljivost z vidika varnosti. Predstavili smo moderne tehnologije strojnega učenja, ki omogočajo izdelavo modelov za 2D prepoznavanje obrazov in prepoznavanje lažnih obrazov. Poleg tehnologij smo predstavili tudi proces razvoja modela za prepoznavanje obrazov z omejeno količino podatkov brez uporabe etično vprašljivih podatkovnih množic in proces razvoja modela za prepoznavanje lažnih obrazov. This thesis discusses the development and functionality of facial recognition systems. Besides face recognition, facial recognition systems must be able to separate between live or spoof faces for many different use cases such as access control. Without a solution to prevent face anti-spoofing facial recognition systems have big vulnerabilities from a security perspective. We explore the latest advancements in deep learning technology that allow for the creating of 2D facial recognition models and face anti-spoofing models. We present a method for training facial recognition models with limited data, eliminating the need for large, ethically questionable datasets. In addition, we also present the development of a face anti-spoofing model. prepoznavanje obrazov konvolucijske nevronske mreže razvoj sistemov Face recognition Convolutional Neural Networks System development true true false Slovenski jezik Angleški jezik Magistrsko delo/naloga 2023-09-06 13:36:03 2023-11-22 13:43:57 2023-11-23 03:07:17 0000-00-00 00:00:00 2023 0 Maribor 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 173244163 MAG_Celik_Nejc_2023.pdf MAG_Celik_Nejc_2023.pdf 1 36916396F7144F569B2C973001EE0422 ad9caff2af30f9a7c337c6aef9ba7ec169e64493f00bda0686afca26a57524a7 60ac6ab0-4cbb-11ee-8fb0-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=171670 Fakulteta za organizacijske vede 0 0 0