ct 18(17): e3

Research Article

Comparative Analysis of Face Detection Using Linear Binary Techniques and Neural Network Approaches

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  • @ARTICLE{10.4108/eai.18-10-2018.159712,
        author={Laraib  Mughal and Kaneez  Laila  Bhatti and Faheem Khuhawar and Fawwad  Hassan  Jaskani},
        title={Comparative Analysis of Face Detection Using Linear Binary Techniques and Neural Network Approaches},
        journal={EAI Endorsed Transactions on Creative Technologies},
        volume={5},
        number={17},
        publisher={EAI},
        journal_a={CT},
        year={2018},
        month={10},
        keywords={Facial recognition, CNN, LBP, Neural Networks, HAAR Classifier},
        doi={10.4108/eai.18-10-2018.159712}
    }
    
  • Laraib Mughal
    Kaneez Laila Bhatti
    Faheem Khuhawar
    Fawwad Hassan Jaskani
    Year: 2018
    Comparative Analysis of Face Detection Using Linear Binary Techniques and Neural Network Approaches
    CT
    EAI
    DOI: 10.4108/eai.18-10-2018.159712
Laraib Mughal1,*, Kaneez Laila Bhatti2, Faheem Khuhawar2, Fawwad Hassan Jaskani3
  • 1: Author, Mehran University of Engineering and Technology, Jamshoro
  • 2: Co-Author, Mehran University of Engineering and Technology, Jamshoro
  • 3: Co-Author, Khawaja Fareed University of Engineering and Information Technology, Rahim Yar Khan
*Contact email: Laraibmughal27@gmail.com

Abstract

Facial recognition is now a days is very emerging topic. The most challenging task for normal human being is to follow the facial recognition retrieval model for correct match in the least running time. Especially while dealing with moving or non-static environment like live video, webcam recording, or accessing real-time video in which facial features are not clear as to take as input image. Comparison between two different approached has been presented in this paper, linear binary pattern Haar technique is compared by deep learning using neural networks, different images of different persons has been taken, deep learning approach is more accurate according to different angles the video taken or any distance the video captured either for moving or static objects either from Mobile Video Camera or CCTV Camera then LPBH approach.