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master's thesis
Razvoj Android aplikacije za prepoznavanje lica
2018. urn:nbn:hr:137:810003
Salihbašić, Alen
University of Pula
Faculty of economics and tourism "Dr. Mijo Mirković"

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Salihbašić, A. (2018). Razvoj Android aplikacije za prepoznavanje lica (Master's thesis). Pula: University of Pula. Retrieved from https://urn.nsk.hr/urn:nbn:hr:137:810003

Salihbašić, Alen. "Razvoj Android aplikacije za prepoznavanje lica." Master's thesis, University of Pula, 2018. https://urn.nsk.hr/urn:nbn:hr:137:810003

Salihbašić, Alen. "Razvoj Android aplikacije za prepoznavanje lica." Master's thesis, University of Pula, 2018. https://urn.nsk.hr/urn:nbn:hr:137:810003

Salihbašić, A. (2018). 'Razvoj Android aplikacije za prepoznavanje lica', Master's thesis, University of Pula, accessed 07 April 2024, https://urn.nsk.hr/urn:nbn:hr:137:810003

Salihbašić A. Razvoj Android aplikacije za prepoznavanje lica [Master's thesis]. Pula: University of Pula; 2018 [cited 2024 April 07] Available at: https://urn.nsk.hr/urn:nbn:hr:137:810003

A. Salihbašić, "Razvoj Android aplikacije za prepoznavanje lica", Master's thesis, University of Pula, Pula, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:137:810003

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Metadata
TitleRazvoj Android aplikacije za prepoznavanje lica
Title (english)Development of Android application for face recognition
AuthorAlen Salihbašić
MentorTihomir Orehovački (mentor)
Committee memberDarko Etinger (predsjednik povjerenstva)
Committee memberTihomir Orehovački (član povjerenstva)
Committee memberNikola Tanković (član povjerenstva)
GranterUniversity of Pula
(Faculty of economics and tourism "Dr. Mijo Mirković")
Pula
Defense date and country2018-12-11, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Program Engineering
Abstract
Rad detaljno opisuje i objašnjava cjelokupni postupak razvijanja WreckFace Android mobilne aplikacije za prepoznavanje spola, dobne skupine i lica osobe. U teorijskom dijelu su prikazani i objašnjeni različiti biometrijski identifikatori i njihove karakteristike. Opisane su i objašnjene metode detekcije i prepoznavanja lica, kao i razvojni alati koji su korišteni pri izradi mobilne aplikacije. U programskom rješenju su opisani detalji korištenja biblioteke OpenCV i putem slika su prikazani stvarni rezultati mobilne aplikacije.
Abstract (english)
The thesis describes and explains in detail the entire process of developing WreckFace Android mobile application for recognizing person’s gender, age group and face. Different biometric identifiers and their characteristics are presented and explained in the theoretical part. Methods of detection and recognition of faces have been described and explained as well as development tools used in the development of mobile application. The program solution describes the details of using the OpenCV library and shows the actual results of the mobile application through the images.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:137:810003
Study programmeTitle: Business Economics; specializations in: Financial Management, Marketing Management, Management and Entrepreneurship, Tourism and Development, Business Informatics
Course: Business Informatics
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra ekonomije (magistar/magistra ekonomije)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence Attribution 4.0 International (CC BY 4.0) icon
Created on2018-12-11 11:37:20