NDLI: Edge based selective encryption scheme for biometric data using chaotic theory

Content Provider	IEEE Xplore Digital Library
Author	Mehta, Garima Dutta, Malay Kishore Travieso-Gonzalez, Carlos M. Kim, Pyung Soo
Copyright Year	2014
Description	Author affiliation: Korea Polytechnic University, Korea (Kim, Pyung Soo) \|\| Amity School of Engineering & Technology, Amity University, Noida, India (Mehta, Garima; Dutta, Malay Kishore) \|\| University of Las Palmas de Gran Canaria, Spain (Travieso-Gonzalez, Carlos M.)
Abstract	Security of biometric data plays a major concern due to extensive use of biometric systems in many applications. This paper proposes an efficient method for encryption of iris images using edge based encryption algorithm based on chaotic theory. In this proposed technique, the iris image is segmented into significant and non significant blocks to find region of interest (ROI) i.e. to localize iris from complete eye image from which features are extracted to generate biometric template. Selective encryption is used to encrypt the region of interest and it reduces the computational overhead and processing time as compared to full encryption techniques. The experimental results prove that edge based selective encryption significantly reduces the time of encryption of iris images as compared to full encryption method without any compromise in performance. Performance of proposed algorithm has been experimentally analyzed using key sensitivity analysis and the results prove that the encryption algorithm has high key sensitivity and the algorithm is lossless in nature.
Starting Page	383
Ending Page	386
File Size	520531
Page Count	4
File Format	PDF
ISBN	9781479966295
DOI	10.1109/IC3I.2014.7019712
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-11-27
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Logistic Map Arnold Cat Map Image edge detection Region of Interest Encryption Edge Based Selective Encryption Bioinformatics Iris recognition Logistics
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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