An online face recognition system using multiple compressed images over the internet

Authors:
Hwangjun Song;Sun Jae Chung;Young-Ho Park
Affiliations:
Dept. of Computer Science and Engineering, POSTECH, Korea;School of Electronic and Electrical Engineering, Hongik University, Korea;School of Electronics and Electrical Engineering, Sangju National University, Korea
Venue:
WISE'05 Proceedings of the 6th international conference on Web Information Systems Engineering
Year:
2005

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Abstract

In this work, we propose an effective online face recognition system over the error-prone Internet. The proposed system uses multiple JPEG-compressed images to improve the recognition rate, and image compression and resizing to reduce the transmission delay and the processing delay. Furthermore, the robustness is improved by effective packetization of compressed image data. First of all, we examine the face recognition rate in terms of quantization parameter and image size, and then implement the effective multiple-image-based face recognition system. Finally, experimental results are provided to show the performance comparison with existing algorithms over the error-prone Internet environment.