Kinship verification between two people by photos
Loading...
URL
Journal Title
Journal ISSN
Volume Title
Sähkötekniikan korkeakoulu |
Master's thesis
Unless otherwise stated, all rights belong to the author. You may download, display and print this publication for Your own personal use. Commercial use is prohibited.
Authors
Date
2024-08-19
Department
Major/Subject
Communications and Data science
Mcode
ELEC211
Degree programme
Master’s Programme in Communications and Data Science
Language
en
Pages
38 + 0
Series
Abstract
This paper examines the feasibility of using convolutional neural networks to determine kinship between two individuals based on their photographs. In this work, the kinship verification problem is studied as a part of the image classification problem. Methods for solving the image classification prob-lem are explored and compared. During the research, models based on the ResNet50 and AlexNet architectures were developed. The performance of these two models is compared on a test set to determine the best model. The best model will be used for the implementation of the proof-of-concept application.Description
Supervisor
Jung, AlexThesis advisor
Jung, AlexKeywords
image classification, deep learning, CNN, kinship verification