Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/3431
Title: Graphical password by image segmentation
Authors: Muhamad, Yahya
Ahmad, Omar Al
Advisors: Dagher, Issam 
Subjects: Image processing--Digital techniques
Image analysis--Data processing
Computer vision
Issue Date: 2018
Abstract: 
Image segmentation is a very important technique to analyze an image and partitioning it throw detecting its pixels and separating them depending on their color, intensity, or texture. Object segmentation methods have helped in many computer vision tasks, such as scene representation& interpretation, object tracking in videos, medical field, and many more. It is a crucial component in many image analysis and computer vision areas. The main purpose of this project is to make a graphical password based on the image segmentation. The idea of this topic is to enter to the system many images which will be divided into different segments. When the user wants to open the system, the segments appear on the screen but randomly located. To pass the code the user must click on some chosen segments. There are many methods of image segmentation. In this project, we used segmentation by the normalized cuts method in combination with the spectral clustering and the k-means clustering method.
Description: 
Includes bibliographical references (p. 28-29).

Supervised by Dr. Issam Dagher.
URI: https://scholarhub.balamand.edu.lb/handle/uob/3431
Rights: This object is protected by copyright, and is made available here for research and educational purposes. Permission to reuse, publish, or reproduce the object beyond the personal and educational use exceptions must be obtained from the copyright holder
Ezproxy URL: Link to full text
Type: Project
Appears in Collections:UOB Theses and Projects

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