A Synthetic Fusion Rule Based on FLDA and PCA for Iris Recognition Using 1D Log-Gabor Filter
Joint Authors
Tobji, Rachida
Di, Wu
Ayoub, Naeem
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-08-21
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Iris recognition is one of the most useful methods to identify or verify people in biometric recognition systems.
Iris patterns contain many features that distinguish people from each other.
In this paper, a novel iris recognition method is proposed based on the fusion of Fisher Linear Discriminate Analysis (FLDA) with embedding Principal Component Analysis (PCA) method.
In this work, firstly we use 1D Log-Gabor to elicit the iris features from an approximation part.
Secondly, we obtain an appropriate degree of clarity for the iris with fusion of FLDA/PCA to eliminate the optical reflections on the iris image.
Experiments of our proposed algorithm are performed on the CASIA V1 database.
The results of our proposed approach show a good performance with recognition rate up to 99.99%.
American Psychological Association (APA)
Tobji, Rachida& Di, Wu& Ayoub, Naeem. 2019. A Synthetic Fusion Rule Based on FLDA and PCA for Iris Recognition Using 1D Log-Gabor Filter. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1197261
Modern Language Association (MLA)
Tobji, Rachida…[et al.]. A Synthetic Fusion Rule Based on FLDA and PCA for Iris Recognition Using 1D Log-Gabor Filter. Mathematical Problems in Engineering No. 2019 (2019), pp.1-11.
https://search.emarefa.net/detail/BIM-1197261
American Medical Association (AMA)
Tobji, Rachida& Di, Wu& Ayoub, Naeem. A Synthetic Fusion Rule Based on FLDA and PCA for Iris Recognition Using 1D Log-Gabor Filter. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1197261
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1197261