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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Kang, MA., Kim, JM. (2007). The Study on Internet-Based Face Recognition System Using Principal Component Analysis. In: Chang, K.CC., et al. Advances in Web and Network Technologies, and Information Management. APWeb WAIM 2007 2007. Lecture Notes in Computer Science, vol 4537. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72909-9_61
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DOI: https://doi.org/10.1007/978-3-540-72909-9_61
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72908-2
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