An improved face recognition algorithm and its application in attendance management system

Local Binary Patterns Three-dimensional face recognition
DOI: 10.1016/j.array.2019.100014 Publication Date: 2019-12-26T12:58:49Z
ABSTRACT
Face Recognition is a computer application that capable of detecting, tracking, identifying or verifying human faces from an image video captured using digital camera. Although lot progress has been made in domain face detection and recognition for security, identification attendance purpose, but still there are issues hindering the to reach surpass level accuracy. These variations facial appearance such as; varying lighting condition, noise images, scale, pose etc. This research paper presents new method Local Binary Pattern (LBP) algorithm combined with advanced processing techniques as Contrast Adjustment, Bilateral Filter, Histogram Equalization Image Blending address some hampering accuracy so improve LBP codes, thus overall system. Our experiment results show our very accurate, reliable robust system can be practically implemented real-life environment automatic management
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