DocumentCode
1921945
Title
Combining Local Binary Pattern and Local Phase Quantization for Face Recognition
Author
Yuan, Baohua ; Cao, Honggen ; Chu, Jiuliang
Author_Institution
Taizhou Inst. of Sci. & Technol., Nanjing Univ. of Sci. & Technol., Taizhou, China
fYear
2012
fDate
26-29 March 2012
Firstpage
51
Lastpage
53
Abstract
Combining information contained in image Spatial and frequency domains can provide rich important clues not seen in either individual of these domains. This paper presents a method of face recognition based on local binary pattern(LBP) and local phase quantization(LPQ). The face image is divided into several regions, 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. Then concatenated into an enhanced feature vector to be used as a face descriptor. The simulation experiments illustrate that this method has better recognition rate and more robust than single method on the YALE and AR face database.
Keywords
face recognition; feature extraction; quantisation (signal); visual databases; AR face database; LBP feature extraction; LBP operator; LPQ feature extraction; LPQ operator; YALE face database; face descriptor; face recognition; feature vector; frequency domain; image spatial domain; local binary pattern; local phase quantization; recognition rate; Databases; Face; Face recognition; Feature extraction; Frequency domain analysis; Histograms; Quantization; Face Recognition; Local Binary Pattern; Local Phase Quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Biometrics and Security Technologies (ISBAST), 2012 International Symposium on
Conference_Location
Taipei
Print_ISBN
978-1-4673-0917-2
Type
conf
DOI
10.1109/ISBAST.2012.14
Filename
6189628
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