Open Access Open Access  Restricted Access Subscription Access

Age Estimation Using Artificial Intelligence Techniques: A Closure Look

Itika Gupta, Sukhdeep Kaur, Pooja Sahni, Paras Chawla


Important characteristic of human life is age, with the help of different patterns this can be concluded rising from the facial appearance. Many of the real-time applications such as safety manipulate and surveillance tracking, biometrics, cosmetology, entertainment, forensic art, electronic customer relationship management make machine based age estimation, especially frequent subject. It is the responsibility of facial pictures category to estimate the age. Its definition includes the determination of person’s age or age group with the help of facial pictures. In this paper, we discuss the previous researches and also overview the new research in facial age estimation. Along with this, we also compare some of age estimation techniques on the basis of mean absolute error (MAE) and detailed view of age estimation representation.

Keywords: Age estimation, feature selection, facial aging

Cite this Article
Itika Gupta, Sukhdeep Kaur, Pooja Sahni, et al. Age Estimation Using Artificial Intelligence Techniques: A Closure Look. Journal of Operating Systems Development & Trends. 2016; 3(2): 15–22p.

Full Text:



Shan C. Learning Local Features for Age Estimation on Real-life Faces. In Proc ACM Workshops Multimodal Pervasive Video Anal, Florence, Italy. 2010; 23–28p.

Guo G, Mu G. Simultaneous Dimensionality Reduction and Human Age Estimation via Kernel Partial Least Squares Regression. 2011; 657–664p.

Xu Y, Yang J, Lai Z, et al. Integrating Conventional and Inverse Representation for Face Recognition. IEEE Trans Cybern. 2014; 44(10): 1738–1746p.

Yun Fu, Huang Thomas S, Dyer Charles R, et al. Locally Adjusted Robust Regression for Human Age Estimation. IEEE. 2008.

Fu Y, Huang TS, Guo G. Age Synthesis and Estimation via Faces: A Survey. IEEE Trans Pattern Anal Mach Intell. 2010; 32(11): 1955–1976p.

Qingshan Liu, Changsheng Li, Weishan Dong, et al. Human Age Estimation Based on Locality and Ordinal Information. IEEE Trans Cybern. 2015; 1–13p.

Kwon Y, Lobo N. Age Classification from Facial Images. IEEE Int Conf Comput Vis Pattern Recognit, Seattle, WA, USA. 1994; 762–767p.

Fu Y, Huang TS. Human Age Estimation with Regression on Discriminative Aging Manifold. IEEE Trans Multimedia. 2008; 10(4): 578–584p.

Cootes TF, Taylor CJ, Edwards GJ. Active Appearance Models. IEEE Trans Pattern Anal Mach Intell. 2001; 23(6): 681–685p.

Geng X, Zhou ZH, Zhang Y, et al. Learning from Facial Aging Patterns for Automatic Age Estimation. In Proc ACM Int Conf Multimedia, Santa Barbara, CA, USA. 2006; 307–316p.

Lanitis A, Taylor CJ, Cootes TF. Toward Automatic Simulation of Aging Effects on Face Images. IEEE Trans Pattern Anal Mach Intell. 2002; 24(4): 442–455p.

Ricanek K, Wang Y, Chen C, et al. Generalized Multiethnic Face Age-Estimation. IEEE Int Conf Biometrics Theory Appl Syst, Washington, DC, USA. 2009; 1–6p.

Efron B, Hastie T, Johnstone I, et al. Least Angle Regression. Ann Statist. 2004; 32(2): 407–451p.

Guo G, Mu G, Fu Y, et al. Human Age Estimation Using Bio-Inspired Features. IEEE Int Conf Comput Vis Pattern Recognit, Miami, FL, USA. 2009; 112–119p.

Yang P, Metaxas D, Zhong L. Ranking Model for Facial Age Estimation. Int Conf Pattern Recognit, Istanbul, Turkey. 2010; 3404–3407p.

Grd P. Introduction To Human Age Estimation Using Face Images. Research Papers Faculty of Materials Sci. and Technology, Slovak University of Tech., Bratislava. 2013; 21: 24–30p.

Geng Xin, Fu Yun, Smith Miles Kate. Automatic Facial Age Estimation. Tutorial at PRICAI. 2010.

Montagu A. A Handbook of Anthropometry. 1960.

Farkas L. Anthropometry of the Head and Face. Raven Press; 1994.

Know Y, Lobo N. Age Classification from Facial Images. Comput Vis Image Underst. 1999; 74(1): 1–21p.

Ramanathan N, Chellappa R. Modeling Age Progression in Young Faces. In IEEE Conf. Computer Vision and Pattern Recognition. 2006.

Petra K, Miroslav B, Markus S. Analysis of Craniofacial Morphology Changes during Aging and their Connection with Facial Age Estimation. In Int Conf on Information Technology Interfaces, Cavtat, Croatia. 2011.

Geng X, Zhou ZH, Smith-miles K. Automatic Age Estimation Based on Facial Aging Patterns. IEEE Trans Pattern Anal Mach Intell. 2007; 29(12): 2234–2240p.

Lanitis A, Christodoulou C, Draganova C. Comparing Different Classifiers for Automatic Age Estimation. IEEE Trans Syst Man Cybern B Cybern. 2004; 34(1): 621–628p.

Guo G, Fu Y, Dyer C, et al. A Probabilistic Fusion Approach to Human Age Prediction. IEEE CVPR-SLAM Workshop. 2008.

Thukral P, Mitra K, Chellappa R. A Hierarchical Approach for Human Age Estimation. ICASSP, IEEE International Conf, Kyoto. 2012; 25–30p.

Schapire RE, Singer Y. Improved Boosting Algorithms using Confidence-Rated Predictions. Mach Learn. 1999; 37(3): 297–336p.

Gupta P, Rosso P. Expected Divergence Based Feature Selection for Learning to Rank. Int Conf Comput Linguist (COLING), Mumbai, India. 2012; 431–439p.

Hart PE, Stork DG, Duda RO. Pattern Classification. Hoboken, NJ, US: Wiley-Interscience; 2000.

He X, Cai D, Niyogi P. Laplacian Score for Feature Selection. Adv Neural Inf Process Syst, Whistler, BC VN, Canada. 2005; 507–514p.


  • There are currently no refbacks.

This site has been shifted to