Face Recognition by using wavelet based frame work

Mrs. Rashmi Somshekhar; Ms. Smitha M; Dr. Aziz Makandar

Title:
Face Recognition by using wavelet based frame work

Authors:
Dr. Aziz Makandar | Mrs. Rashmi Somshekhar | Ms. Smitha M
DOI:
https://doi.org/10.31142/ijtsrd17067

Cite This Article :

Dr. Aziz Makandar | Mrs. Rashmi Somshekhar | Ms. Smitha M "Face Recognition by using wavelet based frame work" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-5, August 2018, pp.1980-1987, URL: https://www.ijtsrd.com/papers/ijtsrd17067.pdf

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Abstract :
Content-based indexing methods are of great interest for image and video retrieval in audio-visual archives, such as in the DiVAN project that we are currently developing. Detecting and recognizing human faces automatically in video data provide users with powerful tools for performing queries. The work is done for recognition of the face by using wavelet packet decomposition. Each face is described by a subset of band filtered images containing wavelet coefficients. These coefficients characterize the face texture and a set of simple statistical measures allow us to form compact and meaningful feature vectors. An efficient and reliable probalistic metric derived from the Bhattacharyya distance is used in order to classify the face feature vectors into person classes.

Keywords :
Face Recognition, Wavelet packet decomposition, Bhattacharyya distance

Publication Details:

Unique Identification Number : IJTSRD17067

Published In : Volume-2 | Issue-5, August 2018

Page Number(s) : 1980-1987

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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