Home   >   CSC-OpenAccess Library   >    Manuscript Information
Enhancement of Multi-Modal Biometric Authentication Based on IRIS and Brain Neuro Image Coding
T. Karthikeyan, B. Sabarigiri
Pages - 249 - 256     |    Revised - 01-11-2011     |    Published - 15-12-2011
Volume - 5   Issue - 5    |    Publication Date - November / December 2011  Table of Contents
MORE INFORMATION
KEYWORDS
Electrodes, Electroencephalography (EEG), Neuro Image Coding, IRIS Patterns & Brain Waves, Signal Processing , Pattern Recognition
ABSTRACT
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.
CITED BY (5)  
1 Abdulkader, S. N., Atia, A., & Mostafa, M. S. M. (2015). Brain computer interfacing: Applications and challenges. Egyptian Informatics Journal, 16(2), 213-230.
2 Sabarigiri, B., & Suganyadevi, D. (2014). An Efficient Multimodal Biometric Authentication based on IRIS and Electroencephalogram (EEG).
3 Khalili, M. S., & Sadjedi, H. (2013). A robust Iris recognition method on adverse conditions. arXiv preprint arXiv:1312.4124.
4 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.
5 Kathikeyan, T., & Sabarigiri, B. (2012, February). Countermeasures against iris spoofing and liveness detection using electroencephalogram (eeg). In Computing, Communication and Applications (ICCCA), 2012 International Conference on (pp. 1-5). IEEE.
1 Google Scholar 
2 Academic Journals Database 
3 CiteSeerX 
4 refSeek 
5 Bielefeld Academic Search Engine (BASE) 
6 Scribd 
7 SlideShare 
8 PdfSR 
A. Ross A. K. Jain and Salil Prabhakar, “An Introduction to Biometric Recognition”. IEEE Transaction on Circuits and Systems for Video Technology, 14, 2004, PP: 44–48.
Ajay Kumar and Arun Passi, “Comparison and combination of IRIS matchers for reliable personal authentication Pattern recognition”, 43, 2010, PP: 1016–1026.
Debnath Bhattacharyya, Rahul Ranjan, Farkhod Alisherov A., and Minkyu Choi, “Biometric Authentication: A Review”, International Journal of u- and e- Service, Science and Technology, Vol. 2, No. 3, 2009 Sep.
Dr.T.Karthikeyan “Efficient Bio Metric IRIS Recognition System Using Fuzzy Neural Network”, International Journal of Advanced Networking and Applications Volume: 01, Issue: 06, 2010, PP: 371-376.
Dr.T.Kathikeyan and S.Prabhu, “Personal Identification and Verification based on biological Trait”, Journal of Computer Science, Vol.01, No.05, Mar-Apr 2006, PP: 399-403.
HU Jian-feng, “Biometric System based on EEG Signals by feature combination”, International Conference on Measuring Technology and Mechatronics Automation, IEEE Computer Society, 2010, PP: 752-755.
Josef Kittler Giorgio Fumera Fabio Roli and Daniele Muntoni, “An experimental comparison of classifer fusion rules for multimodal personal identity verification system”, In Springer Berlin/Heidelberg, 2002.
Justin Dauwels and Francois Vialatte, “Topics in Brain Signal Processing”, 2010.
Nadia Feddaoui, Hela Mahersia and Kamel Hamrouni, “Improving Iris Recognition Performance Using Quality Measures”, Advanced Biometric technologies, 2010, PP: 242- 264.
Palaniappan, R: “A new method to identify individuals using VEP signals and neural network”. IEE Proceedings - Science, Measurement and Technology Journal, Vol. 151, 2004, No: 16-20.
Paranjape, R.B., Mahovsky, J., Benedicenti, L., Koles, Z, “The electroencephalogram as a biometric”, Proceedings of Canadian Conference on Electrical and Computer Engineering, 2001, Vol.2 PP: 1363-1366.
R.Palaniappan and P.Raveendran, “Individual identification technique using visual potential signals”, Electronics Letters, Vol.38, No.25, 2005.
Raghavendra.R, Ashok Rao, Hemantha Kumar, Multimodal Biometric Score Fusion using Gaussian Mixture Model and Monte Carlo Method, Special issue on Advances in Machine Learning and its application, International Journal of Computer science and Technology (JCST), Springer.
Raghavendra.R, Ashok Rao, Hemantha Kumar, Multisensor Biometric Evidence Fusion of Face and Palmprint for Person Authentication using Particle Swarm Optimization (PSO), International Journal of Biometrics, 2010, Vol.2, No.1,PP: 19–33.
Ramasamy Palaniappan, Danilo P.Mandic, “EEG Based Biometric Framework for Automatic Identity Verification”, Journal of VLSI signal processing, 49, 2007, PP: 243-250.
Stelvio Cimato, Marco Gamassi, Vincenzo Piuri, Daniele Sana, Roberto Sassi, and Fabio Scotti, “Personal identification and verification using multimodal biometric data”, CIHSPS 2006 - IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety. Alexandria, VA, USA, Oct 2006, 16-17.
Tieniu Tan Yuchun Fang and Yunhong Wang. Fusion of global and local features for face verification. In 16th International Conference on Pattern recognition, 2002.
Mr. T. Karthikeyan
- India
t.karthikeyan.gasc@gmail.com
Mr. B. Sabarigiri
- India


CREATE AUTHOR ACCOUNT
 
LAUNCH YOUR SPECIAL ISSUE
View all special issues >>
 
PUBLICATION VIDEOS