Computer Science ›› 2018, Vol. 45 ›› Issue (1): 152-156.doi: 10.11896/j.issn.1002-137X.2018.01.026

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Face Age Classification Method Based on Ensemble Learning of Convolutional Neural Networks

MA Wen-juan and DONG Hong-bin   

  • Online:2018-01-15 Published:2018-11-13

Abstract: Face age estimation has attracted much attention due to its potential applications in the areas of human-computer interaction and safety control.This paper focused on face age classification task,and proposed an age classification algorithm based on ensemble convolutional neural network for face age classification.Firstly,two convolutional neural networks which make face images as input are trained,and the deeply global features are extracted mainly by using convolutional neural network.In order to further supply the local features of face images,especially texture information,the extracted LBP feature will be taken as input for another network.Finally,in order to combine the global features and the local features of the face images,three networks are integrated to generate good results in the widely used age estimation dataset.

Key words: Convolutional neural network,Age classification,Ensemble

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