Computer Science ›› 2015, Vol. 42 ›› Issue (6): 32-36.doi: 10.11896/j.issn.1002-137X.2015.06.007

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Age Estimation Based on Facial Image

LIN Shi-miao, MAO Xiao-jiao and YANG Yu-bin   

  • Online:2018-11-14 Published:2018-11-14

Abstract: Age is an inherent biometric for human.As we grow older,our faces will change a lot.Age estimation based on facial image has been widely studied in recent years.Age estimation mainly consists of two phases:feature extraction and estimation method.A new age estimation method was proposed in this paper.In the feature extraction phase,we suggested combining histogram of oriented gradient (HOG) with local binary patter (LBP) to better describe the age progression of facial images,especially for the teenagers.In the estimation phase,a soft two-level estimation method based on coarse-to-fine strategy was proposed.Specifically,facial images are categorized as either adults or teenagers in the first level.In the second level,then age estimation models for each of the categories are trained,and an overlap area at the category boundary is adopted to fix the classification errors caused by the first level.Experimental results show that the features of fusion achieve better discriminative power of aging.Moreover,the soft two-level model further improves the age estimation accuracy.

Key words: Age estimation,Feature fusion,Soft two-level model

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