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Independent component analysis of edge information for face recognition / / Kailash Jagannath Karande, Sanjay Nilkanth Talbar



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Autore: Karande Kailash Jagannath Visualizza persona
Titolo: Independent component analysis of edge information for face recognition / / Kailash Jagannath Karande, Sanjay Nilkanth Talbar Visualizza cluster
Pubblicazione: New York, : Springer, 2013
Edizione: 1st ed. 2014.
Descrizione fisica: 1 online resource (xiii, 81 pages) : illustrations (chiefly color)
Disciplina: 006.42
Soggetto topico: Human face recognition (Computer science)
Optical pattern recognition
Altri autori: TalbarSanjay Kilkanth  
Note generali: "ISSN: 2191-530X."
"ISSN: 2191-5318 (electronic)."
Nota di bibliografia: Includes bibliographical references.
Nota di contenuto: 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.
Sommario/riassunto: 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.
Titolo autorizzato: Independent component analysis of edge information for face recognition  Visualizza cluster
ISBN: 81-322-1512-5
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910299735703321
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Serie: SpringerBriefs in applied sciences and technology. . -Computational intelligence.