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, "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

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  • Ahmed Mohamed Helmy Elsadiek, "Efficient and Sustainable Reconfiguration of Distribution Networks via Metaheuristic Optimization", IEEE, 2022 More
  • Sarah Khalil Mohamed Ibrahim, "Study of Climate Change Detection in North-East Africa Using Machine Learning and Satellite Data", IEEE, 2021 More
  • Ibrahiem Elsayed Mohamed Zedan, "Improved subspace identication with prior information using constrained least-squares", IET, 2011 More
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