NDLI: Iris image classification based on texture and Fourier Mellin Transform features

Content Provider	IEEE Xplore Digital Library
Author	Mazaheri, B. Pourghassem, H.
Copyright Year	2011
Description	Author affiliation: Department of Electrical Engineering, Najafabad Branch, Islamic Azad University, Isfahan, Iran (Mazaheri, B.; Pourghassem, H.)
Abstract	Iris is one of the best biometrics features for human identification and verification. In this paper, an iris image classification framework based on texture and Fourier Mellin Transform (FMT) features is proposed. This framework is consisting of iris image segmentation, normalization, feature extraction and classification. We segmented iris image by using Hough transform. The next stage is image scaling of the iris region so that it has fixed dimensions. The dimensional inconsistencies between eye images are due to the stretching of the iris caused by pupil dilation from varying levels of illumination, varying imaging distance, rotation of the camera, head tilt, and rotation of the eye within the eye socket. We use FMT for making normalized images that are invariant in rotation and translation. Also, by using Gray Level Cooccurrence Matrix (GLCM), statistical features of normalized images are extracted. The results show that a proper algorithm can employed to reduce the dimension of the patterns to have a suitable classification when neural network is used to classify. The proposed way is evaluated on CASIA database standard. Results obtain the better accuracy than other common approach.
Starting Page	118
Ending Page	122
File Size	1362550
Page Count	5
File Format	PDF
ISBN	9781612844855
e-ISBN	9781612844862
DOI	10.1109/ICCSN.2011.6014687
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-05-27
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Correlation Image recognition Neural Network Iris identification Databases Feature Extraction Feature extraction Cameras Fourier-Mellin Transform Gray-Level Co-occurrence Matrix GLCM Biomedical imaging
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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