Volume & Issue no: Volume 5, Issue 3, May - June 2016
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Title: |
Face Verification Across Age Progression with Wavelet Transforms: A Review |
Author Name: |
Prof. Abhinav V. Deshpande |
Abstract: |
Abstract
In human faces, a lot of change in the appearance is seen as
their age is increased. In order to recognize faces which are
under varying illumination, we have proposed a wavelet-based
normalization method so as to normalize the images. This
method will normalize the face for extracting and matching
the images with the stored images in the database. In this
research paper for normalizing the image we are using
discrete wavelet transform (DWT) and for matching the
images with the stored image we are using minimum distance
feature vector algorithm and template matching method. It
will calculate the matching percentage of the original image
with the new image. Again, the proposed research work for
this paper is to compare the matching percentage with the
wavelet transform and the minimum distance feature vector
algorithm. For taking the dimension of that image again we
are using the Gradient Orientation Pyramid and Support
Vector Machines (SVM’s).
Keywords:-Template Matching Method, DWT, Feature
Vector Algorithm, Gradient Orientation Pyramid |
Cite this article: |
Prof. Abhinav V. Deshpande , "
Face Verification Across Age Progression with Wavelet Transforms: A Review" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) ,
Volume 5, Issue 3, May - June 2016 , pp.
200-203 , ISSN 2278-6856.
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