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Fast human face recognition method based on geometric proportion characteristic of five sense organs

A face recognition and proportional technology, applied in the field of face recognition, can solve the problems of lack of uniform matching methods, affecting recognition accuracy, and high interdependence of matching parameters, achieving the effect of ensuring scientificity

Inactive Publication Date: 2013-04-10
SOUTH CHINA UNIV OF TECH
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Problems solved by technology

However, due to the non-rigidity of the face and the influence of lighting conditions, these methods have a high recognition rate only in specific environments, and the matching parameters used in these methods are highly interdependent, and the matching methods are not good. Uniform scientific standards, which affect the accuracy of identification

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  • Fast human face recognition method based on geometric proportion characteristic of five sense organs
  • Fast human face recognition method based on geometric proportion characteristic of five sense organs

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Embodiment Construction

[0026] The following is only an example of the implementation of the present invention, and the implementation of the aforementioned technical solutions of the present invention is not limited thereto.

[0027] The fast face search provided by the present invention is generated on the basis of face recognition; and the face recognition used here is different from the existing recognition methods, and has its own uniqueness in the matching method. The following is attached figure 1 The implementation steps of the present invention's fast face recognition method based on facial features geometric proportion features are described:

[0028] Step 1. Take the face image including the frontal face as the object graph to be processed.

[0029] Step 2, the detection of people's faces and the location of eyes, nose and mouth include the following steps:

[0030] (1) The face image will be analyzed into several areas, including: face frame area, eye area, nose area and mouth area. Pr...

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Abstract

The invention relates to a fast human face recognition method based on geometric proportion characteristic of five sense organs, an object to be recognized and searched is a human front face image, two-dimensional coordinates of the characteristics of eyes, noses, mouths and the like are got according to different gray values of all parts of a human face, and coordinate points are connected appropriately so as to be combined into angle, length and other information. By performing matching analysis on two human faces, the matching rate of the eyes and the nose, the eyes and the mouth, and the nose and the mouth and the comprehensive matching rate can be further got. Simultaneously, the obtained two-dimensional coordinates and the human face image, as well as the information of an individual to which the human face belongs, are saved in a database together. The human face to be recognized is contrasted and matched with the human faces in the database one by one, and the human face with the highest comprehensive matching rate is further extracted, thereby realizing fast search of the human face.

Description

technical field [0001] The invention relates to the technical field of face recognition, in particular to a fast face recognition method based on the geometric proportion features of facial features. Background technique [0002] In today's society, various aspects such as visual surveillance, distance education and human-computer interaction technology and security are eager to perform fast and effective identity verification. Because of its own stability and diversity, biometric features have become the main means of identity verification. The human face is an extremely complex and changeable object, and it is also a typical non-rigid object. [0003] Human facial features are very rich. In addition to shape and expression, there are also the distribution of facial features. By studying the proportional relationship between these features, the degree of similarity and difference between different faces can be obtained. Compared with the use of human biometrics such as r...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06T7/40
Inventor 黄翰郝志峰蔡昭权鲁梦平谢潇雨秦勇杨忠明
Owner SOUTH CHINA UNIV OF TECH
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