Independent Component Analysis of Edge Information for Face Recognition
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Independent Component Analysis of Edge Information for Face Recognition

Independent Component Analysis of Edge Information for Face Recognition

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International Edition


About the Book

The book presents research work on face recognition using edge information as features for face recognition with ICA algorithms. The independent components are extracted from edge information. These independent components are used with classifiers to match the facial images for recognition purpose. In their study, authors have explored Canny and LOG edge detectors as standard edge detection methods. Oriented Laplacian of Gaussian (OLOG) method is explored to extract the edge information with different orientations of Laplacian pyramid. Multiscale wavelet model for edge detection is also proposed to extract edge information. The book provides insights for advance research work in the area of image processing and biometrics.

Table of Contents:
Canny Edge Detection for Face Recognition using ICA.- Laplacian of Gaussian (LOG) Edge Detection for Face Recognition using ICA.- Oriented Laplacian of Gaussian (OLOG) Edge Detection for Face Recognition using ICA.- Multiscale Wavelet based Edge Detection for Face Recognition using ICA.


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Product Details
  • ISBN-13: 9788132215110
  • Publisher: Springer, India, Private Ltd
  • Publisher Imprint: Springer, India, Private Ltd
  • Height: 235 mm
  • No of Pages: 81
  • Returnable: Y
  • ISBN-10: 8132215117
  • Publisher Date: 25 Jul 2013
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Width: 155 mm


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Independent Component Analysis of Edge Information for Face Recognition
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Independent Component Analysis of Edge Information for Face Recognition
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