Real time face detection and recognition system using haar-like feature/HMM in ubiquitous network environments

Authors:
Kicheon Hong;Jihong Min;Wonchan Lee;Jungchul Kim
Affiliations:
Dept. of Information and Telecommunications Engineering, The University of Suwon, South Korea;Dept. of Information and Telecommunications Engineering, The University of Suwon, South Korea;Dept. of Information and Telecommunications Engineering, The University of Suwon, South Korea;Dept. of Information and Telecommunications Engineering, The University of Suwon, South Korea
Venue:
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and its Applications - Volume Part I
Year:
2005

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Abstract

In this paper, a real time face detection and recognition system is introduced for applications or services in Ubiquitous network environments. The system is realized based on a Haar-like features algorithm and a Hidden Markov model (HMM) algorithm using communications between a WPS(Wearable Personal Station) 350MHz development board and a Pentium III 800 MHz main server communicating with each other by a Bluetooth wireless communication method. Through experimentation, the system identifies faces with 96% accuracy for 480 images of 48 different people and shows successful interaction between the WPS board and the main server for intelligent face recognition service in Ubiquitous network environments.