Int. J. of Applied Pattern Recognition   »   2017 Vol.4, No.3

 

 

Title: Human age classification via face images: a survey

 

Authors: Jayant Jagtap; Manesh Kokare

 

Addresses:
Department of Electronics and Telecommunication Engineering, Shri Guru Gobind Singhji Institute of Engineering and Technology, Vishnupuri, Nanded, 431606, India
Department of Electronics and Telecommunication Engineering, Shri Guru Gobind Singhji Institute of Engineering and Technology, Vishnupuri, Nanded, 431606, India

 

Abstract: Human face shows different patterns on the face for particular age class. These ageing patterns on the human faces can be directly used for developing age based systems. Computer based age classification via face images become an interesting topic recently because of their real world applications such as electronic customer relationship management, security and surveillance, etc. In this paper, the detailed survey has been made on the techniques and algorithms developed by researchers for age classification via face images. Comparative study has been done in this paper on existing age classification methods on the basis of pre-processing techniques, ageing feature extraction methods, age classifiers, system performances and databases used for evaluation of system. Future research directions related to the topic of automatic human age classification via face images are also mentioned in this paper.

 

Keywords: human face; ageing patterns; age based systems; age classification; ageing process; survey.

 

DOI: 10.1504/IJAPR.2017.10007611

 

Int. J. of Applied Pattern Recognition, 2017 Vol.4, No.3, pp.246 - 260

 

Submission date: 07 Mar 2017
Date of acceptance: 17 Apr 2017
Available online: 05 Sep 2017

 

 

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