Ms. Arati P. Bhadavankar
Dept of E & TC, SIT Polytechnic, Yadrav
Mr. Prashant M. Jadhav
Dept of Electronics, TEI, Rajwada Ichalkaranji
Mr. Avadhoot R. Telepatil
Dept of E & TC, TEI, Rajwada Ichalkaranji
Download PDFAge estimation is very important issue in the field of computer vision or HCI that is Human Computer Interaction from last several years. Thus study age estimation system is to be carried out which will take human facial image as input and system will classify that in specific age year or in a different age groups But here question arises that whether detecting age or age group is that much easy for machine as it is for human??? The answer is no it is not that much easy for machine, if need to do so then basic steps that machine has to follow for this analysis are Face Detection, feature extraction and classification of age or age group. According to training sequences age detection is basically performed on exact age or age group or age range. In this paper focus is given on four age groups like child, young, adult and aged. This paper also states method related to classification as well as approach used for preprocessing and feature extraction are discussed to solve problem of age detection for machine.
Keywords: age estimation; feature extraction; classification
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