Man face image identifying method based on man face geometric size normalization
Title：
Man face image identifying method based on man face geometric size normalization
Application Number：
 200510067962
Application Date：
 2005/04/30
Announcement Date：
 2005/10/26
Pub. Date：
 2007/10/24
Publication Number：
 1687959
Announcement Number：
 100345153
Grant Date：
 2007-10-24
Granted Pub. Date：
 2007-10-24
ApplicationType：
 Invention
State/Country：
 11[China|beijing]
IPC：
 G06K 9/00
Applicant(s)：
 Tsinghua Univ.
Inventor(s)：
 Du Cheng, Meng Kai, Su Guangda, Wang Junyan
Key Words：
 man face, geometric size, normalization, image, identifying method
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.
Claim：
Priority：
PCT：
LegalStatus：

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2008-4-17
  Selected patents owned by Tsinghua University filed in 2005 are loaded.
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