Jul 20, 2019   9:51 a.m. Iľja
Academic information system

Summary of topics offered - Faculty of Electrical Engineering and Information Technology

Basic information

Type of work: Bachelor thesis
Topic: Rýchle spracovanie obrazov oka a segmentácia dúhovky
Title of topic in English: Fast eye image processing and iris segmentation
State of topic: approved (prof. Dr. Ing. Miloš Oravec - Study programme supervisor)
Thesis supervisor: Ing. Ľuboš Omelina, PhD.
Faculty: Faculty of Electrical Engineering and Information Technology
Supervising department: Institute of Computer Science and Mathematics - FEEIT
Max. no. of students: 1
Academic year:2018/2019
Proposed by: Ing. Ľuboš Omelina, PhD.
Summary: Preprocessing of eye images and iris segmentation are the key components for applications of iris recognition and gaze tracking. Despite existing methods based on deep learning reach a high accuracy, they are computationally complex and require more processing power than some of the existing hand crafted methods. The popularity of mobile devices and their limited computational resources are amongst the causes of limited penetration of the technology in the end-user applications. This work aims at developing an eye preprocessing method that performs real-time segmentation of an iris in a live camera stream on mobile devices. The student will explore the possibility of integration of a machine learning approach with hand crafted methods in order to improve efficiency and accuracy. The goal is to develop a method that has the potential to run on a mobile device utilizing various different computational resources (e.g. DSP, GPU) Finally, the developed method is evaluated on different publicly available datasets of human iris (e.g. CASIA) and demonstrated on different devices available within the department - i.e. the student will develop an application running on a mobile device.

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B-API Applied InformaticsB-API-BIS Security of Information Technologies-- not entered --

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