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Mathematical Problems in Engineering
Volume 2016, Article ID 2670494, 15 pages
Research Article

A Fingerprint Image Encryption Scheme Based on Hyperchaotic Rössler Map

1Engineering, Architecture and Design Faculty, Autonomous University of Baja California (UABC), Ensenada, BC, Mexico
2Electronics and Telecommunications Department, Scientific Research and Advanced Studies of Ensenada (CICESE), Ensenada, BC, Mexico

Received 8 February 2016; Revised 16 June 2016; Accepted 22 June 2016

Academic Editor: Miguel A. F. Sanjuan

Copyright © 2016 F. Abundiz-Pérez et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Currently, biometric identifiers have been used to identify or authenticate users in a biometric system to increase the security in access control systems. Nevertheless, there are several attacks on the biometric system to steal and recover the user’s biometric trait. One of the most powerful attacks is extracting the fingerprint pattern when it is transmitted over communication lines between modules. In this paper, we present a novel fingerprint image encryption scheme based on hyperchaotic Rössler map to provide high security and secrecy in user’s biometric trait, avoid identity theft, and increase the robustness of the biometric system. A complete security analysis is presented to justify the secrecy of the biometric trait by using our proposed scheme at statistical level with 100% of NPCR, low correlation, and uniform histograms. Therefore, it can be used in secure biometric access control systems.