title: A high precision feature based on LBP and Gabor theory for face recognition.
abstract: How to describe an image accurately with the most useful information but at the same time the least useless information is a basic problem in the recognition field. In this paper, a novel and high precision feature called BG2D2LRP is proposed, accompanied with a corresponding face recognition system. The feature contains both static texture differences and dynamic contour trends. It is based on Gabor and LBP theory, operated by various kinds of transformations such as block, second derivative, direct orientation, layer and finally fusion in a particular way. Seven well-known face databases such as FRGC, AR, FERET and so on are used to evaluate the veracity and robustness of the proposed feature. A maximum improvement of 29.41% is achieved comparing with other methods. Besides, the ROC curve provides a satisfactory figure. Those experimental results strongly demonstrate the feasibility and superiority of the new feature and method.
authors.affiliation: Tsinghua Center for Mobile Computing, Institute of Microelectronics, Tsinghua University, Beijing 100084, China. maxiaola@gmail.com
authors.forename: Wei
authors.initials: W
authors.lastname: Xia
authors.forename: Shouyi
authors.initials: S
authors.lastname: Yin
authors.forename: Peng
authors.initials: P
authors.lastname: Ouyang
mesh_terms: D000465:Algorithms; D001699:Biometry / Q000379:methods*; D016208:Databases, Factual; D005145:Face; D006801:Humans; D008962:Models, Theoretical; D012372:ROC Curve
references.citation: IEEE Trans Syst Man Cybern B Cybern. 2007 Aug;37(4):847-62
references.pmid: 17702284
references.citation: IEEE Trans Image Process. 2010 Jun;19(6):1657-63
references.pmid: 20215079
references.citation: Sensors (Basel). 2011;11(10):9573-88
references.pmid: 22163713
references.citation: IEEE Trans Pattern Anal Mach Intell. 2007 Jun;29(6):1086-90
references.pmid: 17431305
references.citation: Sensors (Basel). 2012;12(6):7410-22
references.pmid: 22969351
references.citation: IEEE Trans Pattern Anal Mach Intell. 2004 May;26(5):572-81
references.pmid: 15460279
references.citation: IEEE Trans Pattern Anal Mach Intell. 2009 Feb;31(2):210-27
references.pmid: 19110489
references.citation: J Opt Soc Am. 1980 Nov;70(11):1297-300
references.pmid: 7463179
references.citation: IEEE Trans Pattern Anal Mach Intell. 2006 Dec;28(12):2037-41
references.pmid: 17108377
references.citation: IEEE Trans Image Process. 2010 Feb;19(2):533-44
references.pmid: 19887313