Efficient feature extraction methodology using wavelet transform for the development of person identification system using Iris biometrics.(Report): An article from: Journal of Computer Science Buy on Amazon
Facebook LinkedIn

Efficient feature extraction methodology using wavelet transform for the development of person identification system using Iris biometrics.(Report): An article from: Journal of Computer Science

9.95 USD

Available for download now

Book Details
ISBN / ASIN B006FRP1P6
ISBN-13 978B006FRP1P5
Availability Available for download now
Marketplace United States 🇺🇸
Description
This digital document is an article from Journal of Computer Science, published by Science Publications on September 1, 2011. The length of the article is 2649 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available immediately after purchase. You can view it with any web browser.

From the author: Key words: Iris normalization, feature extraction, Gabor wavelet transform, person identification, iris biometrics, transform techniques, feature vectors, iris region, recognition system, proposed system

Citation Details
Title: Efficient feature extraction methodology using wavelet transform for the development of person identification system using Iris biometrics.(Report)
Author: Sulochana Sonkamble
Publication:Journal of Computer Science (Magazine/Journal)
Date: September 1, 2011
Publisher: Science Publications
Volume: 7 Issue: 9 Page: 1353(5)

Article Type: Report

Distributed by Gale, a part of Cengage Learning
Donate to EbookNetworking
No Prev
No Next