NDLI: Face–iris multi-modal biometric system using multi-resolution Log-Gabor filter with spectral regression kernel discriminant analysis

Content Provider	IET Digital Library
Author	Ammour, Basma Bouden, Toufik Boubchir, Larbi
Abstract	A multi-modal biometric system is used to verify or identify a person by exploiting information of more than one biometric modality. It combines the strengths of the unimodal biometric system to solve their limitations. This study proposes schemes of multi-modal biometric system based on texture information extracted from face and two iris (left and right) using hybrid level of fusion. Feature extraction is the key step to get a robust recognition system. Multi-resolution two-dimensional Log-Gabor filter combined with spectral regression kernel discriminant analysis is exploited to extract features from both face and iris modalities. These features are used in the fusion and the classification process. The proposed schemes were tested using CASIA Iris Distance database in the verification mode. The experimental results show that the proposed multi-modal biometric system yields attractive performances of up to 0.24% in terms of equal error rate and outperforms the recent similar existing state-of-the-art methods.
Starting Page	482
Ending Page	489
Page Count	8
ISSN	20474938
Volume Number	7
e-ISSN	20474946
Issue Number	Issue 5, Sep (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-bmt/7/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-bmt.2017.0251
Journal	IET Biometrics
Publisher Date	2018-02-21
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	CASIA Iris Distance Database Computer Vision And Image Processing Technique Face Recognition Face–iris Multimodal Biometric System Feature Extraction Filtering Method in Signal Processing Gabor Filter Hybrid Level Image Classification Image Fusion Image Recognition Image Texture Iris Recognition Multiresolution Two-dimensional Log-Gabor Filter Regression Analysis Robust Recognition System Sensor Fusion Spectral Regression Kernel Discriminant Analysis Statistics Texture Information Unimodal Biometric System
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Vision and Pattern Recognition Software

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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