The student Zainab Ali Yaqoub received her master's degree from the Department of Computer Sciences / University of Technology for her thesis titled "Hybrid Technique to Improve Face Image Recognition" This work takes advantage of some important methods of discrimination and hybridization in order to get the best results in less time and build an integrated system In order to reach the highest distinction of faces. The first phase is the phase of loading images from the database and analyzing them into their three main colors (red, green and blue). The second stage is to improve the images and remove the noise using Har wavelet. The second is the compressed database. The third stage is to extract the important characteristics of the images and use them to distinguish using two methods: analysis of the main components and analysis of the individual value. the discussion was on Sunday, 18/2/2018, and in the discussion hall in the department. The discussion committee was composed of Dr. Abdul Amir Abdullah Karim and Dr. Rana Farid Ghani from the University of Technology / Department of Computer Sciences and (Dr. Jen Jalil Esteifan) from the University of Information and Communication Technology.
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Source: Department's Media |