Marija Kvasina
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Marija Kvasina has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Hadžib Salkić
Faculty of Information Technology, FINRA University Tuzla, Mitra Trifunovića Uče 9, 75000 Tuzla, Bosnia and Herzegovina
2 shared publications - Almira Salkić1 shared publication
- Bakir Čičak
Vitez University
1 shared publication - Davor Radivojević
International University of Travnik
1 shared publication - Mladen Radivojević
Internacionalni Univerzitet Travnik
1 shared publication - Vladica Ristić
School of Engineering Management, University Beopolis, Bulevar Vojvode Mišića 43, 11000 Belgrade, Serbia
1 shared publication
Latest Publications
- Open Access
- 30 April 2024
- Published by Institute of Public Administration Zagreb in Hrvatska i komparativna javna uprava
- Vol. 24 (1) , 91-112
Nuđenje usluga kao novi koncept pružanja usluga korisnicima inteligentne javne uprave
U ovom radu bavimo se nuđenjem usluga koje bi inteligentna javna uprava mogla nuditi svim korisnicima određenih usluga. Ovdje predlažemo primjenu elektroničkih i mobilnih usluga u javnoj upravi te korištenje nekih novih koncepata koji mogu podržati t...
- 30 April 2024
- Published by Institute of Public Administration Zagreb in Hrvatska i komparativna javna uprava
- Vol. 24 (1) , 91-112
Open AccessNuđenje usluga kao novi koncept pružanja usluga korisnicima inteligentne javne uprave
U ovom radu bavimo se nuđenjem usluga koje bi inteligentna javna uprava mogla nuditi svim korisnicima određenih usluga. Ovdje predlažemo primjenu elektroničkih i mobilnih usluga u javnoj upravi te korištenje nekih novih koncepata koji mogu podržati t...
- Open Access
- 1 October 2022
- Published by University Library in Kragujevac in Advanced Engineering Letters
- Vol. 1 (3) , 98-107
USE OF FACE RECOGNITION SOFTWARE BY KARHUNEN LOVE METHOD
Numerical simulations and checks of face recognition software on given image databases represent a type of empirical research. Face recognition software works on the principle of comparing a photo of the person’s face with the photos in the database. The operation of face recognition software can be divided into three stages. The first stage is face detection, the second stage is face tracking and the third stage is face recognition. For this purpose, software solutions have been developed, with different work techniques. However, it is characteristic that regardless of the different techniques, each expresses its effect with a probability expressed in percentages. Simply put, for now, no software solution can be said to be 100% effective. For now, no computer solution can be compared to the human ability to recognize and identify a person.
- 1 October 2022
- Published by University Library in Kragujevac in Advanced Engineering Letters
- Vol. 1 (3) , 98-107
Open AccessUSE OF FACE RECOGNITION SOFTWARE BY KARHUNEN LOVE METHOD
Numerical simulations and checks of face recognition software on given image databases represent a type of empirical research. Face recognition software works on the principle of comparing a photo of the person’s face with the photos in the database. The operation of face recognition software can be divided into three stages. The first stage is face detection, the second stage is face tracking and the third stage is face recognition. For this purpose, software solutions have been developed, with different work techniques. However, it is characteristic that regardless of the different techniques, each expresses its effect with a probability expressed in percentages. Simply put, for now, no software solution can be said to be 100% effective. For now, no computer solution can be compared to the human ability to recognize and identify a person.