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949 Full-Accuracy Face Recognition with a Minimum Number of Features of the Face Region
Faculty
Engineering
Year:
2019
Type of Publication:
ZU Hosted
Pages:
Authors:
Mira Magdy Sobhy Suliman
Staff Zu Site
Abstract In Staff Site
Journal:
Journal of computer science approaches International Journal of Engineering Research and Technology
Volume:
Keywords :
949 Full-Accuracy Face Recognition with , Minimum Number
Abstract:
A minimum number of features for 100% face recognition accuracy is developed in this paper. Such number is based on dividing the detected face region into vertical and horizontal segments. A simple technique that regards the pixel mean of a
Author Related Publications
Mira Magdy Sobhy Suliman, "COMPARISON BETWEEN HAAR WAVELET TRANSFORM, DCT AND A PROPOSED COLUMN-MEAN-METHOD BASED IRIS ENCODERS", جامعة الزقازيق-المجلة العلمية, 2014
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Mira Magdy Sobhy Suliman, "Security System Based on QR Code for Face Recognition", Journal of computer science approaches, 2019
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Mira Magdy Sobhy Suliman, "Security System Based on QR Code for Face Recognition", Journal of computer science approaches, 2019
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Department Related Publications
Mohammed Atef Meselhy AbdulHamid, "A Novel Hybrid Approach to Arabic Named Entity Recognition", CWMT 2014, Springer, 2014
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Alshaymaa Nabil Khaliel Nada, "Teleoperated Autonomous Vehicle", ESRSA Publication, 2014
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Alshaymaa Nabil Khaliel Nada, "VIRTUAL PID CONTROL WITH PLC", AEIC Egypt, 2008
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Alshaymaa Nabil Khaliel Nada, "Role of MSDF in AVs: A survey", ICITSM United Arab Emirates, March, 2013
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Nesreen I ziedan, "Analytical and Simulation-Based Comparison Between Traditional and Kalman Filter-Based Phase-Locked-Loops", Springer GPS Solutions, 2016
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