NDLI: Smartphone based robust iris recognition in visible spectrum using clustered K-means features

Content Provider	IEEE Xplore Digital Library
Author	Raja, K.B. Raghavendra, R. Busch, C.
Copyright Year	2014
Description	Author affiliation: Norwegian Biometrics Lab., Gjovik Univ. Coll., Gjovik, Norway (Raja, K.B.; Raghavendra, R.; Busch, C.)
Abstract	Smartphones and tablet computers are being actively studied for the performance of biometric recognition in visible spectrum. Owing to robust performance of iris recognition, many works have investigated the performance in visible spectrum. Increasing popularity of iris recognition in the visible spectrum has further resulted in using smartphones for the same. The extraction of robust features for visible spectrum iris recognition is vital to meet the expected accuracy of recognition. In this work, we explore K - means clustering based feature extraction to obtain robust features. K-means clustering is a fast alternative training method that is not computationally expensive and can easily be extended to large scale systems. The robust features extracted serves best for the unconstrained iris recognition on smartphones in visible spectrum. The proposed feature extraction technique has been extensively evaluated on publicly available smartphone iris database from BIPLab. The best Equal Error Rate of 0.31% is achieved using the proposed technique on images captured using iPhone in indoor scenario.
Starting Page	15
Ending Page	21
File Size	1114902
Page Count	7
File Format	PDF
e-ISBN	9781479951765
DOI	10.1109/BIOMS.2014.6951530
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-17
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Access control Biometrics K-means Noisy iris Feature extraction Cameras Robustness Encoding Visible iris Smartphone iris Iris recognition
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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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