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Article:Face Recognition using Texture Features Extracted form Haarlet Pyramid

by Dr.H.B.Kekre, Sudeep D. Thepade, AkshayMaloo
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 12 - Number 5
Year of Publication: 2010
Authors: Dr.H.B.Kekre, Sudeep D. Thepade, AkshayMaloo
10.5120/1672-2256

Dr.H.B.Kekre, Sudeep D. Thepade, AkshayMaloo . Article:Face Recognition using Texture Features Extracted form Haarlet Pyramid. International Journal of Computer Applications. 12, 5 ( December 2010), 41-45. DOI=10.5120/1672-2256

@article{ 10.5120/1672-2256,
author = { Dr.H.B.Kekre, Sudeep D. Thepade, AkshayMaloo },
title = { Article:Face Recognition using Texture Features Extracted form Haarlet Pyramid },
journal = { International Journal of Computer Applications },
issue_date = { December 2010 },
volume = { 12 },
number = { 5 },
month = { December },
year = { 2010 },
issn = { 0975-8887 },
pages = { 41-45 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume12/number5/1672-2256/ },
doi = { 10.5120/1672-2256 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:01:26.000794+05:30
%A Dr.H.B.Kekre
%A Sudeep D. Thepade
%A AkshayMaloo
%T Article:Face Recognition using Texture Features Extracted form Haarlet Pyramid
%J International Journal of Computer Applications
%@ 0975-8887
%V 12
%N 5
%P 41-45
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Face recognition has been a fast growing, challenging and interesting area in real-time applications. A large number of face recognition algorithms have been developed for decades. The paper presents novel Haatlet Pyramid based face recognition technique. Here face recognition is done using the image feature set extracted from Haarlets applied on the image at various levels of decomposition. Here the image features are extracted by applying Haarlets on gray plane (average of red, green and blue. The proposed technique is tested on two image databases having 100 images each.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Face recognition Haarlet Pyramid Haarlet Levels

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