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Independent Component Analysis of Edge Information for Face Recognition

  • Book
  • © 2014

Overview

  • 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

Part of the book series: SpringerBriefs in Applied Sciences and Technology (BRIEFSAPPLSCIENCES)

Part of the book sub series: SpringerBriefs in Computational Intelligence (BRIEFSINTELL)

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Table of contents (6 chapters)

Keywords

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.

Authors and Affiliations

  • , Electronics & Telecommunication Engg, SKN Sinhgad College of Engineering, Pandharpur, India

    Kailash Jagannath Karande

  • , Electronics & Telecommunications, Shri GGS Inst of Engg & Technology, Nanded, India

    Sanjay Talbar

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.

Bibliographic Information

  • Book Title: Independent Component Analysis of Edge Information for Face Recognition

  • Authors: Kailash Jagannath Karande, Sanjay Talbar

  • Series Title: SpringerBriefs in Applied Sciences and Technology

  • DOI: https://doi.org/10.1007/978-81-322-1512-7

  • Publisher: Springer New Delhi

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature India Private Limited 2014

  • Softcover ISBN: 978-81-322-1511-0Published: 25 July 2013

  • eBook ISBN: 978-81-322-1512-7Published: 15 July 2013

  • Series ISSN: 2191-530X

  • Series E-ISSN: 2191-5318

  • Edition Number: 1

  • Number of Pages: XIII, 81

  • Number of Illustrations: 47 b/w illustrations

  • Topics: Signal, Image and Speech Processing, Biometrics, Computational Intelligence

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