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
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
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Book Details
Author(s)Sulochana Sonkamble, Ravindra Thool
PublisherScience Publications
ISBN / ASINB006FRP1P6
ISBN-13978B006FRP1P5
AvailabilityAvailable for download now
MarketplaceUnited States 🇺🇸