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master's thesis
Primjena strojnog učenja za prepoznavanje CAPTCHA-e
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:802727
Kovaček, Ana
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Kovaček, A. (2022). Primjena strojnog učenja za prepoznavanje CAPTCHA-e (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:802727

Kovaček, Ana. "Primjena strojnog učenja za prepoznavanje CAPTCHA-e." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:802727

Kovaček, Ana. "Primjena strojnog učenja za prepoznavanje CAPTCHA-e." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:802727

Kovaček, A. (2022). 'Primjena strojnog učenja za prepoznavanje CAPTCHA-e', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 18 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:802727

Kovaček A. Primjena strojnog učenja za prepoznavanje CAPTCHA-e [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 December 18] Available at: https://urn.nsk.hr/urn:nbn:hr:168:802727

A. Kovaček, "Primjena strojnog učenja za prepoznavanje CAPTCHA-e", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:802727

Metadata
TitlePrimjena strojnog učenja za prepoznavanje CAPTCHA-e
Title (english)CAPTCHA recognition with machine learning
AuthorAna Kovaček
MentorMarija Seder (mentor)
Committee memberMarija Seder (član povjerenstva)
Committee memberIvan Petrović (član povjerenstva)
Committee memberJuraj Peršić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-07-12, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
CAPTCHA je skraćenica za potpuno automatizirani javni Turingov test koji služi za razlikovanje računala od ljudi. Koristi se u svrhu smanjivanja korištenja web stranica od strane računala. Neka od situacija u kojima se koristi je ograničavanje registracije od strane računala u svrhu sprječavanja stvaranja lažnih računa što smanjuje trošenje resursa usluga i mogućnosti prijevare. Za potrebe izrade rada korišten je skup podataka naziva CIFAR-10. Taj skup podataka najčešće se koristi za treniranje programa strojnog učenja u području računalnog vida. Skup sadrži 60 000 slika koje su podijeljene u 10 klasa. Cilj je s neuronskim mrežama oponašati ljudski mozak na način da traži značajke objekta iz slike. Konvolucijska neuronska mreža izdvaja odnosno identificira značajku određenog objekta na slici što čini jedan od temelja strojnog učenja za otkrivanje ili klasifikaciju objekata. Za odabir slika razvijena je funkcionalnost koja omogućava korisniku da pomoću svoje ruke upravlja mišem te na taj način odabire slike.
Abstract (english)
CAPTCHA stands for fully automated public Turing test to distinguish computers from humans. It is used to reduce the use of websites by computers. One of the situations in which it is used is to restrict registration by computers to prevent the creation of fake accounts which reduces the consumption of service resources and the possibility of fraud. A set of data called CIFAR-10 was used while working on this thesis. This dataset is most commonly used to train machine learning programs in the field of computer vision. The set contains 60,000 images divided into 10 classes. The goal of neural networks is to mimic the human brain by searching for the features of an object from an image. The convolutional neural network extracts or identifies the feature of a particular object in the image, which is one of the foundations of machine learning for the detection or classification of objects. Functionality that has been developed for image selection, allows the user to control the mouse with their hand and thus select images.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:802727
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
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Created on2023-01-13 10:11:40