Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/48811
Title: Edge based selective encryption scheme for biometric data using chaotic theory
Authors: Mehta, Garima
Dutta, Malay Kishore
Travieso-Gonzalez, Carlos M. 
Kim, Pyung Soo
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Edge Based Selective Encryption
Region Of Interest
Arnold Cat Map
Logistic Map
Issue Date: 2014
Journal: Proceedings of 2014 International Conference on Contemporary Computing and Informatics, IC3I 2014
Conference: 2014 International Conference on Contemporary Computing and Informatics, IC3I 2014 
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.
URI: http://hdl.handle.net/10553/48811
ISBN: 9781479966295
DOI: 10.1109/IC3I.2014.7019712
Source: Proceedings of 2014 International Conference on Contemporary Computing and Informatics, IC3I 2014 (7019712), p. 383-386
Appears in Collections:Actas de congresos
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