SpringerBriefs in Computational Intelligence

Independent Component Analysis of Edge Information for Face Recognition

Authors: Karande, Kailash J., Talbar, Sanjay

  • Discusses novel approaches on face recognition using edge information with ICA algorithms
  • Details different methods and models for edge detection
  • Provides insights for advance research work in the area of image processing and biometrics
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  • ISBN 978-81-322-1512-7
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About this book

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.

About the authors

Prof. Kailash J. Karande is currently working as Principal at SPSPM S.K.N. Sinhgad College of Engineering, Pandharpur, India. Prof. Karande has 18 years of teaching experience. He has completed his PhD in Electronics and Telecommunication (Image Processing) from SRTM University, Nanded, India in 2011. He has also received Prestigious European Fellowship for one month training at Aalborg University, Denmark, on Project Based Learning. Prof. Karande has recently authored a book “Face Recognition using Independent Component Analysis” with LAP LAMBERT Academic Publishing GmbH. He has also published many articles in national and international peer-reviewed journals and conference proceedings. Prof. Karande is a member of the Editorial Board of two international journals – International Journal of Emerging Technologies and Applications in Engineering Technology and Sciences (IJ-ETA-ETS) and International Journal of Computer Applications in Engineering Technology and Sciences (IJ-CA-ETS).

Dr. Sanjay Talbar is serving as a Professor with Department of Electronics and Telecommunication Engineering in Shri Guru Gobind Singhji Institute of Engineering and Technology, Nanded, India. He has obtained his PhD from S.R.T. Marathwada University, Nanded, India in 2000. He has received the Young Scientist Award by URSI, Italy in 2003. He is a member of many prestigious committees in academic field of India. His research interests are Signal & Image Processing and Embedded Systems.

Table of contents (6 chapters)

  • Introduction

    Karande, Kailash Jagannath (et al.)

    Pages 1-19

  • Canny Edge Detection for Face Recognition Using ICA

    Karande, Kailash Jagannath (et al.)

    Pages 21-33

  • Laplacian of Gaussian Edge Detection for Face Recognition Using ICA

    Karande, Kailash Jagannath (et al.)

    Pages 35-47

  • Oriented Laplacian of Gaussian Edge Detection for Face Recognition Using ICA

    Karande, Kailash Jagannath (et al.)

    Pages 49-61

  • Multiscale Wavelet-Based Edge Detection for Face Recognition Using ICA

    Karande, Kailash Jagannath (et al.)

    Pages 63-74

Buy this book

eBook $39.99
price for USA (gross)
  • ISBN 978-81-322-1512-7
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $49.99
price for USA
  • ISBN 978-81-322-1511-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Independent Component Analysis of Edge Information for Face Recognition
Authors
Series Title
SpringerBriefs in Computational Intelligence
Copyright
2014
Publisher
Springer India
Copyright Holder
The Author(s)
eBook ISBN
978-81-322-1512-7
DOI
10.1007/978-81-322-1512-7
Softcover ISBN
978-81-322-1511-0
Series ISSN
2520-8551
Edition Number
1
Number of Pages
XIII, 81
Number of Illustrations and Tables
47 b/w illustrations
Topics