IRIS RECOGNITION USING MODULAR NEURAL NETWORK AND FUZZY INFERENCE SYSTEM BASED SCORE LEVEL FUSION
Main Article Content
Abstract
Iris Recognition System (IRS) is one of the prominent recognition system used in various application domains such as border control, access control, airports and citizen registration to accurately identify a person. The IRS generally consists of four steps viz. Image Acquisition, Feature Extraction, Segmentation and Recognition. This paper proposes an approach for recognition of an iris using Modular Neural Network and Fuzzy Logic based Score Level Fusion. The performance of the proposed approach is tested on the standard iris database, IITD, obtained from the public domain digital repository. The experimental results demonstrate the efficiency of the proposed approach for identification and verification of an iris image with the considered dataset when considering different performance measures.
Downloads
Download data is not yet available.
Article Details
Section
Articles
COPYRIGHT
Submission of a manuscript implies: that the work described has not been published before, that it is not under consideration for publication elsewhere; that if and when the manuscript is accepted for publication, the authors agree to automatic transfer of the copyright to the publisher.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work
- The journal allows the author(s) to retain publishing rights without restrictions.
- The journal allows the author(s) to hold the copyright without restrictions.