Paper Title

A PATTERN RECOGNITION SYSTEM FOR HUMAN AGE IDENTIFICATION

Authors

Vidyashree H S , Pradeep N

Keywords

Face images, Features, Feature Descriptors, Classifier, Data sets.

Abstract

Identification of human age can be accessed based on their facial characteristics. Each face contains special unique information which can be used in the identification of an individual’s age. To identify age of an individual from the input, some of fundamental steps to be performed are pre-processing, feature extraction and a classification technique. In our work, we have used the traditional KNN algorithm as classifier. The inputs are acquired from publically available dataset and by constructing local dataset by capturing faces of individuals’ from different orientation and under different illumination using good resolution camera. In our work, the popular GLCM and LBP feature extraction techniques have been adopted. The extracted features are maintained in the feature matrix which will be fed as input to the classifier for identifying person age. In this paper, two datasets are considered for our experiments. One is publically available MORPH dataset and another is local dataset constructed by capturing different person’s face images using mobile camera. An attempt is made to develop a usable system that will identify the person age based on the face features.

How To Cite

"A PATTERN RECOGNITION SYSTEM FOR HUMAN AGE IDENTIFICATION", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.3, Issue 7, page no.242 - 249, July-2018, Available :https://ijsdr.org/papers/IJSDR1807041.pdf

Issue

Volume 3 Issue 7, July-2018

Pages : 242 - 249

Other Publication Details

Paper Reg. ID: IJSDR_180500

Published Paper Id: IJSDR1807041

Downloads: 000346998

Research Area: Engineering

Country: Davanagere, Karnataka, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1807041

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1807041

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

Article Preview

academia
publon
sematicscholar
googlescholar
scholar9
maceadmic
Microsoft_Academic_Search_Logo
elsevier
researchgate
ssrn
mendeley
Zenodo
orcid
sitecreex