Independent Component Analysis of Edge Information for Face Recognition

✍ Scribed by Kailash Jagannath Karande, Sanjay Talbar (auth.)

Publisher: Springer India
Year: 2014
Tongue: English
Leaves: 85
Series: SpringerBriefs in Applied Sciences and Technology
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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

Front Matter....Pages i-xiii
Introduction....Pages 1-19
Canny Edge Detection for Face Recognition Using ICA....Pages 21-33
Laplacian of Gaussian Edge Detection for Face Recognition Using ICA....Pages 35-47
Oriented Laplacian of Gaussian Edge Detection for Face Recognition Using ICA....Pages 49-61
Multiscale Wavelet-Based Edge Detection for Face Recognition Using ICA....Pages 63-74
Conclusion....Pages 75-75
Back Matter....Pages 77-81

✦ Subjects

Signal, Image and Speech Processing; Biometrics; Computational Intelligence

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