Fast Local Binary Patterns for Efficient Face Recognition

Mallikarjuna, Rao G and Vijaya , Kumari G and Babu, G R and Rajesh , Viswanadula (2011) Fast Local Binary Patterns for Efficient Face Recognition. International Journal of Science and Engineering, 2 (2). pp. 22-26. ISSN 20865023

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Official URL: http://ejournal.undip.ac.id/index.php/ijse/article...

Abstract

LBP, Local Binary Patterns, is an accepted technique for efficient face recognition. The local features improve the recognition process. However, high memory and computational resources are needed for LBP required approaches to improve the performance. Many people used LBP for extracting features and Support Vector Machine (SVM), histogram matching, neural networks as recognition tools. These approaches consume considerable computational resources. We have proposed a fast LBP which uses Two-level Correlation for the classification & recognition. The exhaustive experiments on FERET database 8750 images substantiate the performance compared to others.

Item Type:Article
Uncontrolled Keywords:Face Recognition, LBP, Histogram Matching, Two-level Correlation, FERET data set
Subjects:T Technology > TP Chemical technology
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Faculty of Engineering > Department of Chemical Engineering
Faculty of Engineering > Department of Chemical Engineering

UNDIP Journal > International Journal of Science and Engineering
ID Code:36250
Deposited By:teknik kimia
Deposited On:04 Oct 2012 10:46
Last Modified:25 Dec 2012 18:03

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