NDLI: Hybrid robust iris recognition approach using iris image pre-processing, two-dimensional gabor features and multi-layer perceptron neural network/PSO

Content Provider	IET Digital Library
Author	Ahmadi, Neda Akbarizadeh, Gholamreza
Abstract	Computational intelligence is employed to solve factual and complicated global problems, though neural networks (NNs) and evolutionary computing have also affected these issues. Biometric traits are applicable for detecting crime in security systems because they offer attractive features such as stability and uniqueness. Although various methods have been proposed for this objective, feature shortcomings such as computational complexity, long run times, and high memory consumption remain. The current study proposes a novel human iris recognition approach based on a multi-layer perceptron NN and particle swarm optimisation (PSO) algorithms to train the network in order to increase generalisation performance. A combination of these algorithms was used as a classifier. A pre-processing step was performed on the iris images to improve the results and two-dimensional gabor kernel feature extraction was applied. The data was normalised, trained, and tested using the proposed method. A PSO algorithm was applied to train the NN for data classification. The experimental results show that the proposed method performs better than many other well-known techniques. The benchmark Chinese Academy of Science and Institute of Automation (CASIA)-iris V3 and Center for Machine Learning and Intelligent Systems at the University of California, Irvine (UCI) machine learning repository datasets were used for testing and comparison.
Starting Page	153
Ending Page	162
Page Count	10
ISSN	20474938
Volume Number	7
e-ISSN	20474946
Issue Number	Issue 2, Mar (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-bmt/7/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-bmt.2017.0041
Journal	IET Biometrics
Publisher Date	2017-07-20
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	2D Gabor Features 2D Gabor Kernel Feature Extraction Biometric Traits Complicated Global Problem Computational Complexity Computational Intelligence Computer Vision And Image Processing Technique Data Classification Data Handling Technique Evolutionary Computing Feature Extraction Generalisation Performance Human Iris Recognition Hybrid Robust Iris Recognition Image Recognition Iris Image Pre-processing Iris Recognition Knowledge Engineering Technique Learning in AI Multilayer Perceptron Neural Network/PSO Multilayer Perceptron NN Neural Nets Neural Network Optimisation Technique Particle Swarm Optimisation PSO Algorithm Security System UCI Machine Learning Repository Datasets
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Vision and Pattern Recognition Software

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