Visitor Identification - Elaborating Real Time Face Recognition System

In this paper requirements and conditions for the visitor identification system are outlined and an example system is proposed. Two main subsystems: face detection and face recognition are described. Algorithm for face detection integrates skin-colour, mask analysis, facial features (fast and effective way of eyes localization is presented), reductors, knowledge and template matching. For face recognition a three stage algorithm is proposed. It utilizes well known methods connected in a sequential mode. To improve accuracy and speed some modifications to original methods were proposed and new one presented. The aim was to build a visitor identification system which would be able to operate in mode with a camera and present results in real-time. The emphasis on speed and accuracy was stressed. Keywords face recognition, face detection, eyes localization, DCT, colour segmentation, skin-colour, template matching, real-time

• Type: Conference
• Year: 2004
• Where: WSCG
• Authors: Georgy Kukharev, Adam Nowosielski
• Keywords: Face Detection, Face Recognition, Visitor Identification, WSCG 2004