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
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
    
     
 
       

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  • Mira Magdy Sobhy Suliman, "COMPARISON BETWEEN HAAR WAVELET TRANSFORM, DCT AND A PROPOSED COLUMN-MEAN-METHOD BASED IRIS ENCODERS", جامعة الزقازيق-المجلة العلمية, 2014 More
  • Mira Magdy Sobhy Suliman, "Security System Based on QR Code for Face Recognition", Journal of computer science approaches, 2019 More
  • Mira Magdy Sobhy Suliman, "Security System Based on QR Code for Face Recognition", Journal of computer science approaches, 2019 More

Department 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 More
  • Mohammed Atef Meselhy AbdulHamid, "Hybrid Named Entity Recognition - Application to Arabic Language", IEEE, 2015 More
  • Mohammed Nour Abdelgawad Ahmed, "Using Industrial Actuators for Rapid Development of Electric Car Applications", WFB Wirtschaftsförderung Bremen, 2014 More
  • Mohammed Nour Abdelgawad Ahmed, "A simulation-based design of extraterrestrial six-legged robot system", IEEE, 2009 More
  • Sanaa Fekry Abdelsadek Hassanien Marzok, "Supervised Classification of Cancers Based on Copy Number Variation", Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2018, 2018 More
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