Face recognition based on logarithmic local binary patterns

Debashree Mandal; Karen Panetta; Sos Agaian

doi:10.1117/12.1000250

19 February 2013 Face recognition based on logarithmic local binary patterns

Debashree Mandal, Karen Panetta, Sos Agaian

Proceedings Volume 8655, Image Processing: Algorithms and Systems XI; 865514 (2013) https://doi.org/10.1117/12.1000250
Event: IS&T/SPIE Electronic Imaging, 2013, Burlingame, California, United States

Abstract

This paper presents a novel approach to the problem of face recognition that combines the classical Local Binary Pattern (LBP) feature descriptors with image processing in the logarithmic domain and the human visual system. Particularly, we have introduced parameterized logarithmic image processing (PLIP) operators based LBP feature extractor. We also use the human visual system based image decomposition, which is based on the Weber's law to extract features from the decomposed images and combine those with the features extracted from the original images thereby enriching the feature vector set and obtaining improved rates of recognition. Comparisons with other methods are also presented. Extensive experiments clearly show the superiority of the proposed scheme over LBP feature descriptors. Recognition rates as high as 99% can be achieved as compared to the recognition rate of 96.5% achieved by the classical LBP using the AT&T Laboratories face database.

Citation Download Citation

Debashree Mandal, Karen Panetta, and Sos Agaian "Face recognition based on logarithmic local binary patterns", Proc. SPIE 8655, Image Processing: Algorithms and Systems XI, 865514 (19 February 2013); https://doi.org/10.1117/12.1000250

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available