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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Design and Analysis of Statistical Methods on Face Recognition

Design and Analysis of Statistical Methods on Face Recognition

Akheel, T. Syed

Paperback

Biology

ISBN10: 6208011140
ISBN13: 9786208011147
Publisher: LAP Lambert Academic Publishing
Published: Aug 18 2024
Pages: 220
Weight: 0.72
Height: 0.50 Width: 6.00 Depth: 9.00
Language: English
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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