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Conference Paper An Experimental Comparison of Preprocessing Methods for Age Classification
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Authors
Young Woo Yoon, Ho Sub Yoon, Jae Yeon Lee
Issue Date
2009-10
Citation
International Symposium on Robot and Human Interactive Communication (RO-MAN) 2009, pp.951-954
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ROMAN.2009.5326053
Project Code
09IC1800, Development of HRI Solutions and Core Chipsets for u-Robot, Hwang Dae Hwan
Abstract
This paper investigates image transformations as preprocessing steps that can be applied toward a state-of-the-art age classification framework of manifold learning. We report on the experimental results of four different preprocessing methods in terms of classification accuracy using a large training and test face database. The use of histograms of oriented gradient (HOG) descriptors increases the classification accuracy from 46 to 75%. Robustness to the rotation and translation is also tested. © 2009 IEEE.
KSP Keywords
Age Classification, Classification framework, Experimental comparison, Face Database, Histograms of Oriented Gradients(HOG), Manifold learning, Preprocessing Steps, Rotation and Translation, classification accuracy, image transformations, preprocessing methods