Volume : IV, Issue : IV, April - 2015

Face Recognition Capability of Global Feature and Local Feature Recognition Based Algorithms

Padmaja Vijay Kumar, Dr. B. Chandrasekhar, Dr. M. N. Giri Prasad, Dr. Padmaja. K. V

Abstract :

In this work, 100 images were taken from the FERET data base and stored as data base compressed images using

several compression levels. Then this compressed data base images reconstructed back to the original size using two
algorithms, one based on global feature recognition that is PCA and the other based on the local feature recognition that is LBP. These reconstructed data base images compared with the probe images. These re reconstructed images will not be the same quality as that of the original
image even though they are the same size. This is because, the re reconstructed images are only an approximation. 8 different approximation
methods are used to reconstruct the data base images. In this work, it is tested that which reconstructing algorithm produces good results
compared to the others.

Keywords :

Article: Download PDF   DOI : 10.36106/ijsr  

Cite This Article:

Padmaja Vijay Kumar, Dr.B. Chandrasekhar, Dr.M.N.Giri Prasad, Dr.Padmaja.K.V Face Recognition Capability of Global Feature and Local Feature Recognition Based Algorithms International Journal of Scientific Research, Vol : 4, Issue : 4 April 2015


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