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Published in:

Volume 2 Issue 12
December-2015
eISSN: 2349-5162

Unique Identifier

JETIR1512011

Page Number

65-70

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Title

Robust Component Based Face Recognition with Occlusion for JPEG Frames: A Survey

ISSN

2349-5162

Cite This Article

"Robust Component Based Face Recognition with Occlusion for JPEG Frames: A Survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 12, page no.65-70, December-2015, Available :http://www.jetir.org/papers/JETIR1512011.pdf

Abstract

Face recognition is growing in many fields like Biometrics. But it also has some significant challenges for recognizing the face under different illuminations, pose variance, aging, occlusion, facial expression, low resolution etc. Face recognition is practically used in security systems for law enforcement situation at places like boarder security, airports railway station where the identification and verification of person matters a lot specially when face is occluded. This paper is mainly focusing on the occluded face verification. For this purpose the LPOG technique, which is the combination of BELBP and LPQ will be used. With the help of automatic face detection misalignment algorithm Voila-jones. SSRC the classification technique which is better than other state-of-arts techniques will be used for classification.

Key Words

Biometric, Component Based, Face Identification and Verification, Features extraction, LPOG, Occlusion, Robust Face Recognition.

Cite This Article

"Robust Component Based Face Recognition with Occlusion for JPEG Frames: A Survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 12, page no. pp65-70, December-2015, Available at : http://www.jetir.org/papers/JETIR1512011.pdf

Publication Details

Published Paper ID: JETIR1512011
Registration ID: 150890
Published In: Volume 2 | Issue 12 | Year December-2015
DOI (Digital Object Identifier):
Page No: 65-70
ISSN Number: 2349-5162

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Cite This Article

"Robust Component Based Face Recognition with Occlusion for JPEG Frames: A Survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 12, page no. pp65-70, December-2015, Available at : http://www.jetir.org/papers/JETIR1512011.pdf




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