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Independent Component Analysis of Edge Information for Face Recognition

SBAST: INDPNDNT CMPNNT ANLYSS EDGE INFRMTN FACE RCGNTN

Information Technology

Computing & Information Technology

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Marketing Imprint Name

B2B GT

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B2B & B2C

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.

POST SECONDARY FOUR YEAR

COLFR

COLJR

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Duration

Duration Unit Of Measure

Transaction Type

Front Cover.
Editorial Board.
Title Page.
Copyright Page.
Dedication.
Preface.
Acknowledgments.
Contents.
Abbreviations and Symbols.
Introduction.
1: Canny Edge Detection for Face Recognition Using ICA.
2: Laplacian of Gaussian Edge Detection for Face Recognition Using ICA.
3: Oriented Laplacian of Gaussian Edge Detection for Face Recognition Using ICA.
4: Multiscale Wavelet-Based Edge Detection for Face Recognition Using ICA.
5: Conclusion.
About the Authors.
References.

Independent Component Analysis of Edge Information for Face Recognition.css-1p8rvzy{position:absolute;padding-left:8px;}

Independent Component Analysis of Edge Information for Face Recognition