High-precision face recognition method for complex face recognition access control system

An access control system and face recognition technology, which is applied in the field of face image processing, can solve problems such as misclassification loss, noise, and category imbalance, and achieve the effects of avoiding loss, improving recognition effect, and improving recognition effect

Active Publication Date: 2013-04-10
江苏优利信科技有限公司
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Problems solved by technology

[0006] Purpose of the invention: In order to solve the problems of different misclassification losses, noise, category imbalance and distribution density of different types of data in the face recognition access control system, the present invention proposes a high-precision face recognition access control system. Face recognition method, so as to effectively keep intruders out and allow legal persons to enter

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  • High-precision face recognition method for complex face recognition access control system
  • High-precision face recognition method for complex face recognition access control system
  • High-precision face recognition method for complex face recognition access control system

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Embodiment Construction

[0032] The specific embodiments of the present invention will be described below in conjunction with the accompanying drawings.

[0033] Such as figure 1 As shown, the present invention discloses a high-precision face recognition method for complex face recognition access control systems. It should be noted that the core step of the present invention is cost-sensitive face feature dimensionality reduction. The description of the specific implementation Mainly focus on step 2, step 1 and step 3 can be realized with existing technology.

[0034] 1. Face vector normalization:

[0035] Normalization is one of the most important contents in image preprocessing. It is a way to simplify calculations. It is invariant to affine transformations such as translation, rotation, and scaling, and is the basic guarantee for high recognition rates. Given a face vector x, use the formula Normalize face vectors to unit vectors

[0036] 2. Cost-sensitive face feature dimensionality reducti...

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Abstract

The invention discloses a high-precision face recognition method for a complex face recognition access control system, belonging to the field of face image processing. The method comprises the following steps: face vector normalization, cost-sensitive face feature dimension reduction and model prediction. The method adopts the cost-sensitive face feature dimension reduction to give different misclassification cost for the different kinds of misclassification in the access control system. The extracted features meet the smallest bayesian risk criteria, the discriminant ability of the extracted features is increased, and further the accuracy of recognition is increased. In addition, the cost-sensitive face feature dimension reduction has robustness to the noises existing in the access control system, imbalanced categories and different kinds of data distribution density, and the method has a higher use value.

Description

technical field [0001] The invention belongs to the field of face image processing, in particular to a high-precision face recognition method used in complex face recognition access control systems. Background technique [0002] With the development of science and technology, face recognition technology has achieved rapid development and wide application, which has attracted the attention of a large number of scholars. Traditional face recognition methods usually pursue the minimum recognition error rate, that is, it is assumed that the losses caused by different misclassifications are the same. However, in many real face recognition applications, this assumption is often not valid, and the losses caused by different misclassifications are different. For example, in the face recognition access control system, there are intruder class I and legal person class G i , i=1, 2..., c-1, generally speaking, the loss of misclassifying an intruder as a legal person is often greater ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G07C9/00
Inventor 杨明万建武高阳
Owner 江苏优利信科技有限公司
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