STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Control & Instrumentation

Model Implementation & analysis in Face Recognition and Attendance System

  1. Zubayer Bin Hasnat

Abstract

Face detection involves separating image windows into two; one containing faces (turning the background (clutter). It is difficult because although commonalities exist between faces, they can vary considerably in terms of age, skin color and facial expression. The problem is further complicated by differing lighting conditions, image qualities and geometries, as well as the possibility of partial occlusion and disguise. An ideal face detector would therefore be able to detect the presence of any face under any set of lighting conditions, upon any background.Keywords: Cascade detectors, face recognition, HFR system, Python, video processing
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