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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
- 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