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Sciences and Technology (CEST-2018), September 25-27, 2018, vol. 1. This is an open access article under Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license, which permits any non-commercial use, distribution, adaptation, and reproduction in any medium, as long as the original work is properly cited. ISBN: 978-81-936820-5-0 Capability of Modified SIFT to Match Stereo Imagery System Omar Abusaeeda, Salah Naas , Nasar Aldian Shashoa 1 Department of Computer Networks, Faculty of Information Technology, Azzaytuna University, Libya 2, 3 Department of Electrical & Communication Engineering, Faculty of Engineering, Azzaytuna University, Libya