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Engineering - Signals & Communication | Independent Component Analysis of Edge Information for Face Recognition

Independent Component Analysis of Edge Information for Face Recognition

Karande, Kailash Jagannath, Talbar, Sanjay

2014, XIII, 81 p. 47 illus.

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  • Discusses novel approaches on face recognition using edge information with ICA algorithms
  • Details different methods and models for edge detection
  • Provides insights for advance research work in the area of image processing and biometrics
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.

Content Level » Research

Keywords » Canny and LOG Edge Detection - Face Recogniton - ICA Algorithms - Independent Component Analysis - Multi-scale Wavelet-based Edge Detection - Oriented Laplacian of Gaussian Edge Detection

Related subjects » Computational Intelligence and Complexity - Image Processing - Signals & Communication

Table of contents 

Introduction.- 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.- Conclusion.

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