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.
This research was supported by the MIC(Ministry of Information and Communication), Korea, under the HNRC-ITRC(Home Network Research Center) support program supervised by the IITA(Institute of Information Technology Assessment).
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© 2005 Springer-Verlag Berlin Heidelberg
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Song, H., Chung, S.J., Park, YH. (2005). An Online Face Recognition System Using Multiple Compressed Images over the Internet. In: Ngu, A.H.H., Kitsuregawa, M., Neuhold, E.J., Chung, JY., Sheng, Q.Z. (eds) Web Information Systems Engineering – WISE 2005. WISE 2005. Lecture Notes in Computer Science, vol 3806. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11581062_49
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DOI: https://doi.org/10.1007/11581062_49
Publisher Name: Springer, Berlin, Heidelberg
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