Journal of Guangdong University of Technology ›› 2010, Vol. 27 ›› Issue (3): 64-67.

• Comprehensive Studies • Previous Articles     Next Articles

A New Image Distance Applied in Face Recognition

  

  1. Faculty of Applied Mathematics，Guangdong University of Technology，Guangzhou 5 10006，China
  • Online:2010-09-25 Published:2010-09-25

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Abstract: It presents a new image distance—Image Matching Distance(IMMD)．It considers the relationship between every point of the image pixel and the specific area of the corresponding image，and finds the matching point in this special area，to let the image of the gray value and its coordinates into the similarity measure of image．It makes IMMD have good robustness for the changes of face posture，angle，and the expression．The nearest neighbor classifier is used，based on the IMMD for face recognition．The experimental results show that this method is superior to the method based on Euclidean Distance and Image Euclidean Distance．

Key words: image Distance；face recognition；Euclidean Distance；Image Euclidean Distance(IMED)；Image
Matching Distance(IMMD)

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