Parking Access System Based On Face Recognition

被引:0
|
作者
Taleb, Imene [1 ]
Ould Mammar, Madani [1 ]
机构
[1] USTO MB, LSI, Oran, Algeria
关键词
Moving object; Face detection; face recognition; access control; Principal Component Analysis (PCA); Linear Discriminant Analysis (LDA); EIGENFACES;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The human face plays an important role in our social interaction, conveying people's identity. Using the human face as a key to security, biometric face recognition technology has received significant attention. Face recognition technology, is very popular and it is used more widely because it does not require any kind of physical contact between the users and the device. Camera scans the user face and match it to a database for verification. Furthermore, it is easy to install and does not require any expensive hardware. Facial recognition technology is used widely in a variety of security systems such as physical access control or computer user accounts. In this paper, we present an access control vehicle system to the park based on camera installed at theparking entry. First, we use the non-adaptive method to detect the moving object, and we propose an algorithm to detect and recognize the face of the driver who wants to enter to the parking and verify if he is allowed. We use Viola-Jones method for face detection and we propose a new technique based on PCA, and LDA algorithm for face recognition.
引用
收藏
页码:176 / 180
页数:5
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