An Improved Illumination Normalization and Robust Feature Extraction Technique for Face Recognition Under Varying Illuminations

2019 ◽  
Vol 44 (11) ◽  
pp. 9067-9086 ◽  
Author(s):  
Jyotsna Yadav ◽  
Navin rajpal ◽  
Rajesh Mehta
Keyword(s):  
Feature Extraction ◽  
Face Recognition ◽  
Extraction Technique ◽  
Illumination Normalization ◽  
Robust Feature Extraction ◽  
Feature Extraction Technique

CORRELATION BASED FACE MATCHING IN COMBINED GLOBAL AND LOCAL PRESERVING FEATURE SPACE

2010 ◽  
Vol 24 (08) ◽  
pp. 1281-1294
Author(s):  
K. RUBA SOUNDAR ◽  
K. MURUGESAN
Keyword(s):  
Feature Extraction ◽  
Face Recognition ◽  
Measurement Techniques ◽  
Local Features ◽  
Extraction Technique ◽  
Similarity Measurement ◽  
Global Features ◽  
Linear Discriminant ◽  
Feature Based ◽  
Feature Extraction Technique

Face recognition plays a vital role in authentication, monitoring, indexing, access control and other surveillance applications. Much research on face recognition with various feature based approaches using global or local features employing a number of similarity measurement techniques have been done earlier. Feature based approaches using global features can effectively preserve only the Euclidean structure of face space, that suffer from lack of local features which may play a major role in some applications. On the other hand, wtih local features only the face subspace that best detects the essential face manifold structure is obtained and it also suffers loss in global features which may also be important in some other applications. Measuring similarity or distance between two feature vectors is also a key step for any pattern matching application. In this work, a new combined approach for recognizing faces that integrates the advantages of the global feature extraction technique by Linear Discriminant Analysis (LDA) and the local feature extraction technique by Locality Preserving Projections (LPP) with correlation based similarity measurement technique has been discussed. This has been validated by performing various experiments and by making a fair comparison with conventional methods.

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