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02838nam a22005295i 4500 |
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978-81-322-1512-7 |
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DE-He213 |
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20151031071053.0 |
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130715s2014 ii | s |||| 0|eng d |
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|a 9788132215127
|9 978-81-322-1512-7
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|a 10.1007/978-81-322-1512-7
|2 doi
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|d GrThAP
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|a TK5102.9
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|a TA1637-1638
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|a TK7882.S65
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|a TTBM
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|a COM073000
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|a 621.382
|2 23
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|a Karande, Kailash Jagannath.
|e author.
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|a Independent Component Analysis of Edge Information for Face Recognition
|h [electronic resource] /
|c by Kailash Jagannath Karande, Sanjay Talbar.
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|a India :
|b Springer India :
|b Imprint: Springer,
|c 2014.
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|a XIII, 81 p. 47 illus.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
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|a text file
|b PDF
|2 rda
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|a SpringerBriefs in Applied Sciences and Technology,
|x 2191-530X
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|a 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.
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|a 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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|a Engineering.
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|a Biometrics (Biology).
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|a Computational intelligence.
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|a Engineering.
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|a Signal, Image and Speech Processing.
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|a Biometrics.
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|a Computational Intelligence.
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|a Talbar, Sanjay.
|e author.
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9788132215110
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|a SpringerBriefs in Applied Sciences and Technology,
|x 2191-530X
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856 |
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|u http://dx.doi.org/10.1007/978-81-322-1512-7
|z Full Text via HEAL-Link
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912 |
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|a ZDB-2-ENG
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950 |
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|a Engineering (Springer-11647)
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