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Item 1 of 1
Item 1 of 1
LAP Lambert Academic Publishing
Design and Analysis of Statistical Methods on Face Recognition
SR 406
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SR24Per Month/24 months
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About this Product
Face is an important biometric feature for personal identification. Human beings easily detect and identify faces in a scene but it is very challenging for an automated system to achieve such objectives. Dimensionality reduction has been a key problem in Face Recognition. Independent Component Analysis (ICA) is a recent approach for dimensionality reduction. Locality Preserving Projections (LPP) and linear collaborative discriminant regression methods are also a recently proposed new methods in pattern recognition for feature extraction and dimension reduction.
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