Independent Component Analysis of Edge Information for Face Recognition [electronic resource] / by Kailash Jagannath Karande, Sanjay Talbar.
By: Karande, Kailash Jagannath [author.].
Contributor(s): Talbar, Sanjay [author.] | SpringerLink (Online service).
Material type:
BookSeries: SpringerBriefs in Applied Sciences and Technology: Publisher: India : Springer India : Imprint: Springer, 2014Description: XIII, 81 p. 47 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9788132215127.Subject(s): Engineering | Biometrics (Biology) | Computational intelligence | Engineering | Signal, Image and Speech Processing | Biometrics | Computational IntelligenceAdditional physical formats: Printed edition:: No titleDDC classification: 621.382 Online resources: Click here to access online 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.
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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