Age classification using Radon transform and entropy based scaling SVM
Huiyu Zhou, Paul C. Miller, Jianguo Zhang · 2011
This paper mainly addresses the problem of age classification. Image fe atures can be extracted using a difference of Gaussian filter followed by Radon tran sform. The relevance and importance of these features are determined in a scaling support vector machine classifier, where zero weights are assigned to irrelevant varia bles. To enhance the quality of feature selection, we introduce entropy estimation to the scaling c lassifier. Experimental results demonstrate that the proposed algorithm leads to better recognition accuracy than the state of the art.