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....

Full description

Bibliographic Details
Main Authors: Karande, Kailash Jagannath, Talbar, Sanjay Nilkanth (Author)
Format: eBook
Language:English
Published: New Delhi Springer India 2014, 2014
Edition:1st ed. 2014
Series:SpringerBriefs in Computational Intelligence
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
LEADER 02220nmm a2200337 u 4500
001 EB000404970
003 EBX01000000000000000258042
005 00000000000000.0
007 cr|||||||||||||||||||||
008 130802 ||| eng
020 |a 9788132215127 
100 1 |a Karande, Kailash Jagannath 
245 0 0 |a Independent Component Analysis of Edge Information for Face Recognition  |h Elektronische Ressource  |c by Kailash Jagannath Karande, Sanjay Nilkanth Talbar 
250 |a 1st ed. 2014 
260 |a New Delhi  |b Springer India  |c 2014, 2014 
300 |a XIII, 81 p. 47 illus  |b online resource 
505 0 |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. 
653 |a Computational intelligence 
653 |a Computational Intelligence 
653 |a Signal, Speech and Image Processing 
653 |a Biometrics 
653 |a Signal processing 
653 |a Biometric identification 
700 1 |a Talbar, Sanjay Nilkanth  |e [author] 
041 0 7 |a eng  |2 ISO 639-2 
989 |b Springer  |a Springer eBooks 2005- 
490 0 |a SpringerBriefs in Computational Intelligence 
028 5 0 |a 10.1007/978-81-322-1512-7 
856 4 0 |u https://doi.org/10.1007/978-81-322-1512-7?nosfx=y  |x Verlag  |3 Volltext 
082 0 |a 621,382 
520 |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