Network-Based Face Recognition System Using Multiple Images (original) (raw)

Abstract

The purpose of this study was to propose the real time face recognition system using multiple image sequences for network users. The algorithm used in this study aimed to optimize the overall time required for recognition process by reducing transmission delay and image processing by image compression and minification. At the same time, this study proposed a method that can improve recognition performance of the system by exploring the correlation between image compression and size and recognition capability of the face recognition system. The performance of the system and algorithm proposed in this study were evaluated through testing.

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Author information

Authors and Affiliations

  1. Computer Science and Statistic Graduate School, Chosun University, Korea
    Jong-Min Kim, Hwan-Seok Yang & Woong-Ki Lee

Authors

  1. Jong-Min Kim
  2. Hwan-Seok Yang
  3. Woong-Ki Lee

Editor information

Editors and Affiliations

  1. Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, 100080, Beijing
    Zhong-Zhi Shi
  2. Asian Institute of Technology, P.O. Box 4, 12120, Klong Luang, Pathumthani, Thailand
    Ramakoti Sadananda

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© 2006 Springer-Verlag Berlin Heidelberg

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Kim, JM., Yang, HS., Lee, WK. (2006). Network-Based Face Recognition System Using Multiple Images. In: Shi, ZZ., Sadananda, R. (eds) Agent Computing and Multi-Agent Systems. PRIMA 2006. Lecture Notes in Computer Science(), vol 4088. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11802372\_70

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