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The Study on Internet-Based Face Recognition System Using Principal Component Analysis

机译:基于主成分分析的基于互联网的人脸识别系统研究

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摘要

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.
机译:这项研究的目的是为网络用户提出一种使用多个图像序列的实时人脸识别系统。本研究中使用的算法旨在通过减少传输延迟和通过图像压缩和缩小进行图像处理来优化识别过程所需的总时间。同时,本研究提出了一种通过探索图像压缩与人脸识别系统的大小和识别能力之间的相关性来提高系统识别性能的方法。通过测试评估了本研究中提出的系统和算法的性能。

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