|Table of Contents|

Face Recognition Based on Local Binary Patternand Local Phase Quantization(PDF)

《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

Issue:
2015年01期
Page:
104-
Research Field:
计算机科学
Publishing date:

Info

Title:
Face Recognition Based on Local Binary Patternand Local Phase Quantization
Author(s):
Zhu Changshui; Ding Yong; Yuan Baohua; Cao Honggen
Taizhou Institute of Science and Technology,Nanjing University of Science and Technology,Taizhou 225300,China
Keywords:
local binary pattern; local phase quantization; face recognition
PACS:
TP
DOI:
-
Abstract:
Spatial and frequency domain analysis is an important method of image analysis. This paper presents a method of face recognition based on local binary pattern and local phase quantization. First,LBP operator is used to extract LBP feature in the spatial domain and LPQ operator is used to extract LPQ feature in the frequency domain from block grey-level face images. Then fused into LBP/LPQ histograms and evaluated the goodness between tow LBP/LPQ histograms. Finally,Face recognition based on the nearest neighbor principle. The simulation experiments illustrate that this method has better recognition rate and more robust than single method on the YALE and AR face database.

References:

[1] Zhao W,Chellappa R,Phillips P J,et al. Face recognition:a literature survey[J]. Acm Computing Surveys(CSUR),2003,35(4):399-458.
[2]Ahonen T,Hadid A,Pietikainen M. Face description with local binary patterns:Application to face recognition[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2006,28(12):2 037-2 041.
[3]Ahonen T,Rahtu E,Ojansivu V,et al. Recognition of blurred faces using local phase quantization[C]//19th International Conference on Pattern Recognition. Tampa:IEEE,2008:1-4.
[4]Ahonen T,Pietik?inen M. Image description using joint distribution of filter bank responses[J]. Pattern Recognition Letters,2009,30(4):368-376.
[5]Heikkil? M,Pietik?inen M,Schmid C. Description of interest regions with local binary patterns[J]. Pattern Recognition,2009,42(3):425-436.
[6]Zhang B,Gao Y,Zhao S,et al. Local derivative pattern versus local binary pattern:face recognition with high-order local pattern descriptor[J]. IEEE Transactions on Image Processing,2010,19(2):533-544.
[7]Guo Z,Zhang L,Zhang D. Rotation invariant texture classification using LBP variance(LBPV)with global matching[J]. Pattern Recognition,2010,43(3):706-719.
[8]Ojansivu V,Heikkil? J. Blur Insensitive Texture Classification Using Local Phase Quantization[M]//Image and Signal Processing. Heidelberg,Berlin:Springer,2008:236-243.
[9]Heikkila J,Ojansivu V,Rahtu E. Improved blur insensitivity for decorrelated local phase quantization[C]//20th International Conference on Pattern Recognition. Istanbul:IEEE,2010:818-821.
[10]Lei Z,Ahonen T,Pietikainen M,et al. Local frequency descriptor for low-resolution face recognition[C]//IEEE International Conference on Automatic Face & Gesture Recognition and Workshops. Shanghai,China:IEEE,2011:161-166.
[11]Chan C H,Tahir M A,Kittler J,et al. Multiscale local phase quantization for robust component-based face recognition using kernel fusion of multiple descriptors[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2013,35(5):1 164-1 177.

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Last Update: 2015-03-30