Independent Component Analysis of Edge Information for Face Recognition
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....
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
New Delhi
Springer India
2014, 2014
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| Edition: | 1st ed. 2014 |
| Series: | SpringerBriefs in Computational Intelligence
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
| Summary: | 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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| Physical Description: | XIII, 81 p. 47 illus online resource |
| ISBN: | 9788132215127 |