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| Enhancement of Multi-Modal Biometric Authentication Based on IRIS and Brain Neuro Image Coding
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Full
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Source |
International Journal of Biometrics and Bioinformatics (IJBB) |
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Table of Contents |
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Complete Issue PDF(761.49KB) |
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Volume: 5 Issue: 5 |
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Pages: |
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Publication
Date: November / December 2011 |
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ISSN
(Online): 1985-2347 |
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Pages |
249 - 256 |
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Author(s) |
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Published
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15-12-2011 |
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Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
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ADDITIONAL
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| Keywords Abstract References Cited by Related Articles Collaborative
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KEYWORDS: Electrodes, Electroencephalography (EEG), Neuro Image Coding, IRIS Patterns & Brain Waves, Signal Processing , Pattern Recognition |
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| This Manuscript is indexed in the following databases/websites:- |
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| 1. Directory of Open Access Journals (DOAJ) |
| 2. Google Scholar |
| 3. Bielefeld Academic Search Engine (BASE) |
| 4. Academic Journals Database |
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| The proposed method describes the current forensics and biometrics in a modern approach and implements the concept of IRIS along with brain and resolves the issues and increases the strength of Digital Forensics Community. It has enormous features in biometrics to enhance diverse security levels. A new method to identify individuals using IRIS Patterns with the brain wave signals (EEG) is proposed. Several different algorithms were proposed for detecting, verifying and extracting the deterministic patterns in a person’s IRIS from the Eye. The extracted EEG recordings form the person\'s brain has proved to be unique. Next we combine EEG signals into the IRIS patterns a biometric application which makes use of future multi modal combination architecture. The proposed forensic research directions and argues that to move forward the community needs to adopt standardized, modular approaches for person identification. The result of each authentication test is compared with the user\'s pre-recorded measurements, using pattern recognition methods and signal-processing algorithms.
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T. Kathikeyan and B. Sabarigiri, “Countermeasures against IRIS Spoofing and Liveness Detection using Electroencephalogram (EEG)”, in Proceedings of Computing, Communication and Applications (ICCCA), 2012 International Conference , Dindigul, Tamilnadu, 22-24 Feb. 2012, pp. 1-5.
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CORE (COnnecting REpositories)
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| T. Karthikeyan : Colleagues
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| B. Sabarigiri : Colleagues
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