Iris recognition using localized Zernike’s feature and SVM
Joint Authors
Maghuli, Keivan
Pirasteh, Ali Rida
Mousavizadeh, Sayyid Farhud
Source
The International Arab Journal of Information Technology
Issue
Vol. 13, Issue 5 (30 Sep. 2016), pp.1-7, 7 p.
Publisher
Publication Date
2016-09-30
Country of Publication
Jordan
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Iris recognition is an approach that identifies people based on unique patterns within the region surrounding the pupil of the eye.
Rotation, scale and translation invariant, are very important in image recognition.
Some approaches of rotation invariant features have been introduced.
Zernike Moments (ZMs) are the most widely used family of orthogonal moments due to their extra property ofbeing invariant to an arbitrary rotation of the images.
These moment invariants have been successfully used in the pattern recognition.
For designing a high accuracy recognition system, a new and accurate way for feature extraction is inevitable.
In order to have an accurate algorithm, after image segmentation, ZMs were used for feature extraction.
After feature extraction, a classifier is needed; Support Vector Machine (SVM) can serve as a good classifier.
For the N-class problem i.
iris classification, SVM applies N two-class machines.
Indeed, in this type of validation, data are divided into K subsets.
At any given moment, one is for testing and the other one is exclusively for validation.
This method is called K-fold cross validation (Leave one out) and each subset is considered as an original series.
Simulation stage was accomplished with IIT database a’ d the comparison between of this method and some other methods, shows a high recognition rate of 98.61% on this database.
American Psychological Association (APA)
Pirasteh, Ali Rida& Maghuli, Keivan& Mousavizadeh, Sayyid Farhud. 2016. Iris recognition using localized Zernike’s feature and SVM. The International Arab Journal of Information Technology،Vol. 13, no. 5, pp.1-7.
https://search.emarefa.net/detail/BIM-654876
Modern Language Association (MLA)
Pirasteh, Ali Rida…[et al.]. Iris recognition using localized Zernike’s feature and SVM. The International Arab Journal of Information Technology Vol. 13, no. 5 (Sep. 2016), pp.1-7.
https://search.emarefa.net/detail/BIM-654876
American Medical Association (AMA)
Pirasteh, Ali Rida& Maghuli, Keivan& Mousavizadeh, Sayyid Farhud. Iris recognition using localized Zernike’s feature and SVM. The International Arab Journal of Information Technology. 2016. Vol. 13, no. 5, pp.1-7.
https://search.emarefa.net/detail/BIM-654876
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-654876