Research Article
Comparative Analysis of Face Detection Using Linear Binary Techniques and Neural Network Approaches
@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
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.
Copyright © 2018 Laraib Mughal et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
