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 | ||
| DOI : 10.14445/22312803/IJCTT-V34P111 |
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. www.ijcttjournal.org. 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.
References
[1] Abdullah MAM, Dlay SS, Woo WL. ?Securing Iris Images
with a Robust Watermarking Algorithm based on Discrete
Cosine Transform In: 10th International Conference on
Computer Vision Theory and Applications (VISAPP 2015).
2015, Berlin, Germany.
[2] S.Usha, M.Karthik, ?A Robust Digital Image
Watermarking for Biometric Template Protection
Applications International Journal of Advanced Research
in Electrical, Electronics and Instrumentation Engineering,
Vol. 4, Issue 4, April 2015.
[3] Ajay Jangra and Shivi Goel, "Biometric based Security
Solutions for MANET: A Review" International Journal Computer Network and Information Security, Vol.10, pp.
44-50, 2013.
[4] Rakhi C. Motwani, "A Voice-Based Biometric
Watermarking Scheme For Digital Rights Management of
3D Mesh Models" Ph.D Thesis in in Computer Science and
Engineering, University of Nevada, Reno, 2010.
[5] Methaq T. Gaata ?An Efficient Image Watermarking
Approach based on Fourier Transform International
Journal of Computer Applications, Vol. 136, No. 9, 2016.
[6] Punam Bedi, Roli Bansal, Priti Sehgal, ?Multimodal
Biometric Authentication using PSO based Watermarking
Published by Elsevier Ltd. Procedia Technology 4 (2012)
pp. 612 – 618.
[7] Jinyu Lu, Tao Qu, and Hamid Reza Karimi, ?Novel Iris
Biometric Watermarking Based on Singular Value
Decomposition and Discrete Cosine Transform
Mathematical Problems in Engineering, Vol. 2014.
[8] Marcin Smereka, Ignacy Dule, "CIRCULAR OBJECT
DETECTION USING A MODIFIED HOUGH
TRANSFORM" International Journal of Appl. Math.
Comput. Sci.,Vol. 18, No. 1, pp. 85–91, 2008.
[9] CASIA IrisV1 Database. http://biometrics.idealtest.org.
[10] Z. Wang, A. Bovik, H. Sheikh and E.Simoncelli, ?Image
Quality Assessment: From Error Visibility to Structural
Similarity, IEEE Transactions on Image Processing, vol.
13, no.4, pp. 600-612, April 2004.
[11] Sonam Chauhan, Sachin Chaudhary, " A Robust Invisible
Digital Image Watermarking using DWT, DCT and SVD"
International Journal of Computer Trends and Technology
(IJCTT) – volume 23 Number 3–May 2015.
[12] Gaurav Gupta, Kanika Sharma, "A Hardware Efficient
Robust Digital Image Watermarking Algorithm Using
Integer DCT" International Journal of Engineering Trends
and Technology (IJCTT) – Volume 25 Number 2- July
2015.
Keywords
Adaptive Watermarking, Biometric,
Iris, GA, Fuzzy.