Iris Image Authentication based on Adaptive Watermarking System

International Journal of Computer Trends and Technology (IJCTT)          
© 2016 by IJCTT Journal
Volume-34 Number-2
Year of Publication : 2016
Authors : Dr. Methaq Talib Gaata, Refah Aamer Jaafar


Dr. Methaq Talib Gaata, Refah Aamer Jaafar "Iris Image Authentication based on Adaptive Watermarking System". International Journal of Computer Trends and Technology (IJCTT) V34(2):63-67, April 2016. ISSN:2231-2803. Published by Seventh Sense Research Group.

Abstract -
In recent years, biometric data play a key role in the identification and verification systems. With this significant progress in the use of biometric data many of the attacks that threaten the security and authenticity and integrity of biometric data itself emerged. For that, biometric data protection has become an urgent need for the purpose of protecting against fraud and alteration. This paper introduces an authentication approach to establish the authenticity of iris images based on adaptive watermarking system. The key idea is based on extract features from the iris image early and then uses these features as a watermark in order to insert into the same iris image. The fuzzy edge detector has been used to determining appropriate embedding locations and to avoid the region used during the iris recognition system. After avoid the region of interest (ROI) which used for iris recognition the Genetic Algorithm (GA) is used to find the optimal locations for watermark embedding in intelligently manner. The GA is applied in embedding and extracting the watermark. Also, original iris image does not require in watermark extraction process. Experimental results show the performance of proposed system is good enough to achieve the iris image authentication with very high quality and the embedding of watermark is not affected on the ROI which used in iris recognition.

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Adaptive Watermarking, Biometric, Iris, GA, Fuzzy.