NDLI: Identity recognition based on generalised linear regression classification for multi-component images

Content Provider	IET Digital Library
Author	Chou, Yang Ting Yang, Jar Ferr
Abstract	In real-world recognition applications, several poor situations such as varying environment, limited image information, and irregular status would lead performance degradation in recognition. To overcome the unexpected effects, the authors propose a generalised linear regression classification (GLRC) to fully use all the information of multiple components of input images. The proposed GLRC achieves the global adaptive weighted optimisation for linear regression classification (LCR), which can automatically use the distinction components for recognition. For colour identify recognition, the authors also suggest several similarity measures for the proposed GLRC to be tested in different colour spaces. Experiments are conducted on two object datasets and two face databases including Columbia Object Image Library-100, SOIL-47, SDUMLA-HMT and FEI. For performance comparisons, the proposed GLRC approach is compared with the contemporary popular methods including colour principal component analysis, colour linear discriminant analysis, colour canonical correlation analysis, LRC, robust LRC (RLRC), sparse representation classification (SRC), colour LRC, colour RLRC, and colour SRC. The simulation results demonstrate that the proposed GLRC method achieves the best performance in multi-component identity recognition.
Starting Page	18
Ending Page	27
Page Count	10
ISSN	17519632
Volume Number	10
e-ISSN	17519640
Issue Number	Issue 1, Feb (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cvi/10/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2014.0366
Journal	IET Computer Vision
Publisher Date	2016-02-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Colour Canonical Correlation Analysis Colour Identify Recognition Colour Linear Discriminant Analysis Colour Principal Component Analysis Columbia Object Image Library-100 Computer Vision And Image Processing Technique Correlation Method FEI Generalised Linear Regression Classification Global Adaptive Weighted Optimisation GLRC Identity Image Recognition Image Classification Image Colour Analysis Image Recognition Image Representation Multicomponent Image Classification Principal Component Analysis Regression Analysis SDUMLA-HMT SOIL-47 Sparse Representation Classification SRC Statistics
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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