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

Authors

  • Laraib Mughal Mehran University of Engineering and Technology
  • Kaneez Laila Bhatti Mehran University of Engineering and Technology image/svg+xml
  • Faheem Khuhawar Mehran University of Engineering and Technology image/svg+xml
  • Fawwad Hassan Jaskani Khwaja Fareed University of Engineering and Information Technology image/svg+xml

DOI:

https://doi.org/10.4108/eai.18-10-2018.159712

Keywords:

Facial recognition, CNN, LBP, Neural Networks, HAAR Classifier

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.

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Published

29-10-2018

How to Cite

1.
Mughal L, Laila Bhatti K, Khuhawar F, Hassan Jaskani F. Comparative Analysis of Face Detection Using Linear Binary Techniques and Neural Network Approaches. EAI Endorsed Trans Creat Tech [Internet]. 2018 Oct. 29 [cited 2024 Apr. 18];5(17):e3. Available from: https://publications.eai.eu/index.php/ct/article/view/1488