A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf
.
A Framework for Face Recognition Using Adaptive Binning and Adaboost Techniques
2011
The International Journal of Multimedia & Its Applications
In this paper, a novel framework for face recognition is developed by using adaptive binning and adaboost technique. Adaptive binning is an efficient classifier technique to classify the object and the results are represented in Histogram Gabor Phase Pattern [HGPP]. The resultant HGPP is again applied with an adaboost classification technique to improve the efficiency of the pattern by further reducing the computational complexity. This new framework is experimentally verified with FERET and
doi:10.5121/ijma.2011.3107
fatcat:ykxshqnbabhzxhlydfottqwqbe