Title :
An Averaging Technique for Improving Human Age Estimation Algorithms
Author_Institution :
Young Res. Club, Islamic Azad Univ., Buinzahra, Iran
Abstract :
Accurate age estimation is one of the most important issues in human communication. It is essential part of human-computer interaction. In this paper, an averaging technique is proposed which is able to further improve several individual age estimation algorithms. Both mathematical and experimental proofs show, if the individual age estimators are diverse in error, then to improve the results, we can make the ensemble age estimator using the best selected individual age estimators.
Keywords :
face recognition; human computer interaction; mathematical analysis; accurate age estimation; averaging technique; experimental proofs; human age estimation algorithms; human communication; human-computer interaction; individual age estimators; mathematical proofs; Estimation; Face; Feature extraction; Gabor filters; Neural networks; Shape; Transforms; Age estimation; Averaging technique; Face images; Machine vision;
Conference_Titel :
Communication Systems and Network Technologies (CSNT), 2013 International Conference on
Conference_Location :
Gwalior
Print_ISBN :
978-1-4673-5603-9
DOI :
10.1109/CSNT.2013.187