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Gender and Identity Recognition in a Visually Lossless Encoded Image

A. Sipani1 , N. Mundra2 , P. Komati3

Section:Research Paper, Product Type: Journal Paper
Volume-2 , Issue-6 , Page no. 28-32, Jun-2014

Online published on Jul 03, 2014

Copyright © A. Sipani, N. Mundra, P. Komati . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: A. Sipani, N. Mundra, P. Komati, “Gender and Identity Recognition in a Visually Lossless Encoded Image,” International Journal of Computer Sciences and Engineering, Vol.2, Issue.6, pp.28-32, 2014.

MLA Style Citation: A. Sipani, N. Mundra, P. Komati "Gender and Identity Recognition in a Visually Lossless Encoded Image." International Journal of Computer Sciences and Engineering 2.6 (2014): 28-32.

APA Style Citation: A. Sipani, N. Mundra, P. Komati, (2014). Gender and Identity Recognition in a Visually Lossless Encoded Image. International Journal of Computer Sciences and Engineering, 2(6), 28-32.

BibTex Style Citation:
@article{Sipani_2014,
author = {A. Sipani, N. Mundra, P. Komati},
title = {Gender and Identity Recognition in a Visually Lossless Encoded Image},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2014},
volume = {2},
Issue = {6},
month = {6},
year = {2014},
issn = {2347-2693},
pages = {28-32},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=191},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=191
TI - Gender and Identity Recognition in a Visually Lossless Encoded Image
T2 - International Journal of Computer Sciences and Engineering
AU - A. Sipani, N. Mundra, P. Komati
PY - 2014
DA - 2014/07/03
PB - IJCSE, Indore, INDIA
SP - 28-32
IS - 6
VL - 2
SN - 2347-2693
ER -

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Abstract

The last decades have experienced astounding growth in the use of images that has resulted in large repositories of images that have to be stored and transmitted, bringing new techniques and standards to compress such data sets efficiently. Lossless, or numerically lossless, methods commonly achieve moderate compression ratios, whereas lossy methods achieve higher compression ratios at the expense of image fidelity. Performing recognition algorithms on these compressed images require extraction of original image from the codestream. The goal of this research is to examine the feasibility of implementing gender recognition algorithm and identity recognition algorithm directly into JPEG2000 compressed domain avoiding inverse discrete wavelet transform (IDWT). Such an approach would consequently enable the use of compressed images in recognition purposes, thus reducing both computational time and storage requirements.

Key-Words / Index Term

JPEG2000, Visibility threshold, Bit plane coding, Eigen faces, Discrete Wavelet Transform, Dead Zone Quantization

References

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