Simultaneous Face Detection and Recognition using Viola-Jones Algorithm and Artificial Neural Networks for Identity Verification

被引：0

作者：

Fernandez, Ma Christina D. ^{[1
]}

Gob, Kristina Joyce E. ^{[1
]}

Leonidas, Aubrey Rose M. ^{[1
]}

Ravara, Ron Jason J. ^{[1
]}

Bandala, Argel A. ^{[2
]}

Dadios, Elmer P. ^{[2
]}

机构：

[1] Polytech Univ Philippines, Dept Comp Sci, Manila, Philippines

[2] De La Salle Univ, Gokongwei Coll Engn, Manila, Philippines

来源：

2014 IEEE REGION 10 SYMPOSIUM | 2014年

关键词：

Face Detection; Face Recognition; Artificial Neural Networks; Image Processing;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：672 / 676

页数：5

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