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Man face image identifying method based on man face geometric size normalization

A face image and geometric size technology, applied in the field of image processing, can solve problems such as distance instability, instability, and affecting the recognition rate of face recognition, so as to achieve good normalization effect, increase recognition rate, and improve face recognition. The effect of visual effects

Inactive Publication Date: 2005-10-26
TSINGHUA UNIV
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Problems solved by technology

[0007] (5) Differences in face images caused by illumination
[0008] In the general face recognition algorithm, there is no normalization processing of the standard geometric size of the face image, and the normalization processing of the geometric size will not only affect the recognition rate of face recognition, but also affect the number of people in the face database. face visual effects
The existing face geometric size normalization method is mainly based on the distance between the two eyes, however, the distance between the two eyes of the face is unstable, especially in the horizontally rotated face image, this Instability is more prominent

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  • Man face image identifying method based on man face geometric size normalization
  • Man face image identifying method based on man face geometric size normalization
  • Man face image identifying method based on man face geometric size normalization

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Embodiment Construction

[0043] The embodiment of the face image recognition method based on the normalization of the face geometric size proposed by the present invention is described in detail in conjunction with the accompanying drawings. The method includes the following steps:

[0044] 1) In the input face image (such as figure 1 As shown), determine the coordinate position of a point A on the left eyeball (x 1 ,y 1 ), the coordinate position of a point B on the right eyeball (x 2 ,y 2 ), and draw a straight line L through two points A and B 1 , and determine the jaw point C 0 Coordinates (X 0 ,y 0 ).

[0045] In this step, the coordinate positions of points A and B on the left and right eyeballs can be realized in two ways. One method is to use the mouse to directly determine the coordinate positions of points A and B on the left and right eyeballs on the face image. It uses an algorithm combining integral projection and feature space analysis to automatically determine the coordinate po...

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Abstract

The invention relates to a human face image recognizing method based on the geometric size normalization of a human face, belonging to image processing technical field, and comprising the steps of: determining the coordinates of the left and right eyeballs on an input human face image, and according to the coordinates, rotating the image to the horizontal position to obtain a new human face image 2, then determining the coordinates of left and right eyeballs and mandible of the new human face image 2, specifying the numeric value of normalized geometric size of a human face, zooming in or out the new human face 2 to obtain another human face image 3 meeting the standard distance; according to the coordinates of left and right eyeballs and mandible of the human face image 3, cutting the human face image 3 to obtaina standard normalized human face image; forming training-set, known and to-be- recognized human face images into human face images of normalized geometric size and extracting human face characteristics, and in a known human face database, adopting the methods of calculating similarity and sequencing according to the similarity to recognize the human face. The invention obviously improves the visual effect of a human face and makes a higher increase in the recognizing ratio.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to a method for improving the face recognition rate. Background technique [0002] Face recognition involves many disciplines, including image processing, computer vision, pattern recognition, etc., and is also closely related to the research results of physiology and biology on the structure of the human brain. The recognized difficulties of face recognition are: [0003] (1) Face changes caused by age; [0004] (2) Face diversity caused by posture; [0005] (3) Face plastic deformation caused by expression; [0006] (4) The multiplicity of face patterns caused by factors such as glasses and makeup; [0007] (5) Differences in face images caused by illumination. [0008] In the general face recognition algorithm, there is no normalization process of the standard geometric size of the face image, and the normalization process of the geometric size will not only affect ...

Claims

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Application Information

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IPC IPC(8): G06K9/00
Inventor 苏光大孟凯杜成王俊艳
Owner TSINGHUA UNIV
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