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A PATTERN RECOGNITION SYSTEM FOR HUMAN AGE IDENTIFICATION
Authors Name:
Vidyashree H S
, Pradeep N
Unique Id:
IJSDR1807041
Published In:
Volume 3 Issue 7, July-2018
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.
Keywords:
Face images, Features, Feature Descriptors, Classifier, Data sets.
Cite Article:
"A PATTERN RECOGNITION SYSTEM FOR HUMAN AGE IDENTIFICATION", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.3, Issue 7, page no.242 - 249, July-2018, Available :http://www.ijsdr.org/papers/IJSDR1807041.pdf
Downloads:
000223213
Publication Details:
Published Paper ID: IJSDR1807041
Registration ID:180500
Published In: Volume 3 Issue 7, July-2018
DOI (Digital Object Identifier):
Page No: 242 - 249
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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