International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Volume4,March 2017,

Topic : Adaptive Human Machine Interface Approach for Face Recognition

Authors:Mr. L. Guru Kumar || Dr. G. Harinatha Reddy

Abstract:Feature extraction is one of the challenging issues in face recognition and matching process. Here we proposea novel method for dense featureextraction in face recognition.This methodology consists of two steps. In first step, encoding scheme is defined that shifts high dimensional data into compact representation by maximizing intra user correlation. In second step an adaptive feature matching is done for image classification which works for images with different scaling limits. This methodology is implemented on local facial database. We introduce a novel human-machine interface based on movements of head pose. This human machine interface works by detecting facial features from live cam and then tracking face features.Movement and actions of cursor are performed by using facial feature tracking. We prove that our methodology yields better results compared to state-of-art criteria, our method performs better at noisy condition, illumination changes, complex background and at different head poses..

Keywords: Face recognition, intra-user correlation.

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DOI: 01.1617/vol4/iss3/pid74359


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Editor-in-Chief

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Dr.Zhongfu Tan
National Professor,
North China Electric Power University,
CHINA


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IMPACT FACTOR: 3.689

ISSN(Online): 2394-6849

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Thomson Reuters ID : q-6288-2016.
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