EPrints@IIT Delhi >
Faculty Research Publicatons  >
Physics >

Please use this identifier to cite or link to this item: http://eprint.iitd.ac.in/handle/2074/998

Title: Neural network based face recognition by using diffraction pattern sampling with a digital ring–wedge detector
Authors: Ganotra, Dinesh
Joseph, Joby
Singh, Kehar
Keywords: Neural networks
Face recognition
Ring–wedge detector
Issue Date: 2002
Citation: Optics Communications, 202(1-3), 61-68
Abstract: Use of neural networks (NNs) and diffraction pattern sampling by a ring–wedge detector leads to easier and faster algorithms for pattern recognition. An estimation was made of the optimum dimensions of a digital ring–wedge detector for sampling Fourier transform of random matrices through simulation of digital ring–wedge detector. The modulus squared Fourier transforms of facial images were sampled by ring–wedge geometry, and used for training a neural net for multi-face recognition. Fourier spectral intensities obtained by simulation and experiment were both tested for training and generalization of the network which was studied as a function of learning rate and number of epochs.
URI: http://eprint.iitd.ac.in/dspace/handle/2074/998
Appears in Collections:Physics

Files in This Item:

File Description SizeFormat
ganotraneu2002.pdf308.45 kBAdobe PDFView/Open
View Statistics

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


Valid XHTML 1.0! DSpace Software Copyright © 2002-2010  Duraspace - Feedback