同时使用Viola-Jones算法和人工神经网络进行身份验证的人脸检测和识别

M. Fernandez, Kristina Joyce E. Gob, Aubrey Rose M. Leonidas, Ron Jason J. Ravara, A. Bandala, E. Dadios
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引用次数: 35

摘要

本课题旨在设计和开发一个人脸识别系统。该系统利用Viola Jones算法从给定图像中检测人脸。该系统还利用人工神经网络对输入的人脸进行识别。经实验,所生成的人脸识别系统识别准确率达到87.05%。当人距离相机150厘米左右时,系统表现最佳,准确率为87.59%。识别系统的最佳光照量为480流明,准确率为88.64%。最后,当人正对着相机或与相机成0度时,系统也会表现得最好。
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Simultaneous face detection and recognition using Viola-Jones Algorithm and Artificial Neural Networks for identity verification
The study presented aims to design and develop a face recognition system. The system utilized Viola Jones Algorithm in detecting faces from a given image. Also the system used Artificial Neural Networks in recognizing faces detected from the input. Upon experimentation the system generated can recognize human faces with accuracy of 87.05%. The system performs at its best if the person is around 150cm away from the camera with an accuracy rate of 87.59%. Also, the best amount of lighting for the recognition system is at 480 lumens with an accuracy rate of 88.64%. Lastly, the system also performs at its best if the person is directly facing the camera or at 0 degrees with respect to the camera.
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