Independent Component Analysis of Edge Information for Face Recognition electronic resource by Kailash Jagannath Karande, Sanjay Talbar.
Material type: TextSeries: SpringerBriefs in Applied Sciences and TechnologyPublication details: India : Springer India : Imprint: Springer, 2014Description: XIII, 81 p. 47 illus. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9788132215127Subject(s): engineering | Biometrics | Engineering | Signal, Image and Speech Processing | Biometrics | Computational IntelligenceDDC classification: 621.382 LOC classification: TK5102.9TA1637-1638TK7882.S65Online resources: Click here to access onlineCanny 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.
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.
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