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

Mughal, Laraib and Bhatti, Kaneez Laila and Khuhawar, Faheem and Jaskani, Fawwad Hassan (2018) Comparative Analysis of Face Detection Using Linear Binary Techniques and Neural Network Approaches. EAI Endorsed Transactions on Creative Technologies, 5 (17): 3. ISSN 2409-9708

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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.

Item Type: Article
Uncontrolled Keywords: Facial recognition, CNN, LBP, Neural Networks, HAAR Classifier
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor II.
Date Deposited: 08 Sep 2020 11:11
Last Modified: 08 Sep 2020 11:11
URI: https://eprints.eudl.eu/id/eprint/58

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