Fingerprint image encryption based on chaos

Dr. Fengling Han

Discipline of Distributed Computing Systems and Networks, School of Computer Science and IT

Date and time: 11.30am-12.30pm, Friday 12th August, 2005

Venue: 10.08.04

Chair: Xiaodong Li

Abstract:

Basic concept of chaos is introduced. How to generate multi-scroll chaos via linear system and hysteresis is demonstrated. Two examples of fingerprint image encryption based on chaos are presented. In the first example, an image of a fingerprint is encrypted via a two-dimensional (2D) chaotic sequence obtained from the multi-scroll chaotic attractors. Initial values of the chaotic attractors are served as the private key, and can be generated by the binary image of the captured fingerprint. In the second example, a chaotic map is used to permutate the pixels position of a fingerprint image. Different rounds of iterations are suggested to use different keys which are automatically generated from the randomly pixels sampled of the fingerprint image, stable global features of fingerprint and/or pseudo random number generator. In both schemes, the decryption and minutiae matching are performed at the central server. Only the valid user’s fingerprint can be decrypted and matched successfully.

About the speaker:

Dr Fengling Han has received a PhD from School of Electrical and Computer Systems, RMIT University, a Master of Engineering Degree from Department of Control Engineering, Harbin Institute of Technology, China, and a Bachelor of Engineering Degree from Department of Automatic Control, Harbin Shipbuilding Engineering Institute, China. Her research interests include Circuit theory, network security, nonlinear systems, and power systems. She has published more than 40 papers in journals and international conferences.


Seminar Organisation

Seminars are free and open to the general public. No booking is necessary. If you are interested in giving a presentation in this seminar series, or to make suggestions for speakers, please contact Xiaodong Li, the seminar co-ordinator.