Open AccessAutomatic Age Estimation System for Face Images
Author(s) -
Chin-Teng Lin,
Dong Lin Li,
Jian-Hao Lai,
Ming Han,
JyhYeong Chang
Publication year - 2012
Publication title -
international journal of advanced robotic systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.394
H-Index - 46
eISSN - 1729-8814
pISSN - 1729-8806
DOI - 10.5772/52862
Subject(s) - computer science , artificial intelligence , computer vision , face (sociological concept) , locality , field (mathematics) , gabor wavelet , facial recognition system , exploit , pattern recognition (psychology) , wavelet , wavelet transform , discrete wavelet transform , social science , linguistics , philosophy , mathematics , computer security , sociology , pure mathematics
Humans are the most important tracking objects in surveillance systems. However, human tracking is not enough to provide the required information for personalized recognition. In this paper, we present a novel and reliable framework for automatic age estimation based on computer vision. It exploits global face features based on the combination of Gabor wavelets and orthogonal locality preserving projections. In addition, the proposed system can extract face aging features automatically in real‐time. This means that the proposed system has more potential in applications compared to other semi‐automatic systems. The results obtained from this novel approach could provide clearer insight for operators in the field of age estimation to develop real‐world applications