Advancement in Face Recognition at Long Distance through Image Processing

Author(s)

Muhammad Arslan Ghaffar , Muhammad Asad Ashfaq , Armayau Hashim Hashim , Moslema Chowdhuray Momi , Asif Mehboob , Mandeep Pokharel , Nabin Subedi ,

Download Full PDF Pages: 01-20 | Views: 97 | Downloads: 37 | DOI: 10.5281/zenodo.10682375

Volume 13 - February 2024 (02)

Abstract

Face recognition is a significant piece of the ability of human insight framework and is a standard assignment for people, while building a comparable computational model of face recognition. As of late, facial biometrics has been added to this rundown and has presented another strategy for a progressively secure type of validation. Those systems cannot properly work in dense or indoor light patterns. So, it is proposed for facial recognition to recognize and alert the system when an individual in search has been found at a particular area under the observation of a CCTV camera. The system will automatically sense the light density and will handle the situation under the present light illumination circumstances. In this search we will be using Haar Cascade Classifier algorithm to detect the face, to extract the features of face and to recognize the face. In this search we will be using LDA (Linear Discriminant Analysis) and PCA (Principal Component Analysis) techniques to eliminate the light illumination problem.

Keywords

Face Recognition, Image Processing

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