The computer system represents data in various format viz (i) Audio, (ii) Video, (iii) Text, (iv) Message, and (v) Image format. There are many ways through which, data can be easily transferred. The process of transferring digital bank cheque image is done with the help of cheque truncation system. It transfers cheque from home branch to clearing bank branch for faster clearance of customer cheque. This helps the banking system to keep transparency of transaction. During the flow of digital bank cheque image, there may be possibility of various attacks like, Cropping, JPEG compression, Median filtering, Gaussian Blur noise, Rotation, Salt & Pepper noise, etc. This arise the issues of copyright protection and security for digital bank cheque image. In this research work, The Combination of Digital Image Watermarking Using Neural Network and Advanced Encryption and Decryption Technique is Used for Providing Copyright Protection & Security Technique to Digital Bank Cheque Image.
HusainFarooq, A survey of digital watermarking techniques for multimedia data, International Journal of Electronics and Communication Engineering2(1) (2012), 37–43.
2.
SurekhaB. and SwamyG.N., A spatial domain public image watermarking, International Journal of Security and Applications5(1) (2011), 1–11.
3.
BorsA. and PitasI., Image watermarking using block site selection and DCT domain constraints, Optics Express3(12) (1997), 512–522.
4.
EjimaM. and MyazakiA., Onthe evaluation of performance of digital watermarking in the frequency domain, in Proc. of the IEEE Int. Conf. on Image Processing (2001), 546–549.
5.
SaryazdiSaeid and DemehriMehrnaz, A Blind DCT Domain Digital Watermarking, in proc.3rd International Conference: Sciences of Electronic, Technologies of Information and Telecommunications March 27–31, SETIT 2005, TUNISIA.
6.
CoxI.J., MillerM.L. and BloomJ.A., Digital Watermarking, Morgan Kaufmann Publishers, 2002.
7.
CoxIngemar J., Secure spread spectrum watermarking for multimedia, IEEE Trans. On Image Processing6(12) (1997), 1673–1687.
8.
LuW., LuH. and ChungF. L., Feature based watermarking using watermark template match, Applied Mathematics and Computation177(1) (2011), 886–893.
9.
TsaiM. and HungH., DCT and DWT based Image Watermarking Using Subsampling, in Proc. 4th IEEE Int. Conf. on Machine Learning and Cybernetics, China (2005), 5308–5313.
10.
JianshengMei, SukangLi and XiaomeiTan, A Digital Watermarking Algorithm Based On DCT and DWT, in Proc.International Symposium on Web Information Systems and Applications (WISA’09), China, ISBN 978-952-5726-00-8 (Print), 978-952-5726-01-5 (CD-ROM)), May 22–24, 2009, 104–107.
11.
SubramanayamA.V., EmmanueSabu and KankanhalliMohan S., Robust Watermarking of Compressed and Encrypted JPEG-2000 Images, IEEE Transaction on Multimedia14(4) (2012), 703–716.
12.
ChaturvediNavnidhi and BashaDr S.J., A Novel SVD based Digital Watermarking Scheme using DWT and A comparative study with DWT-Arnold, SVD-DCT and SVD-DFT based watermarking, International Journal of Digital Application & Contemporary Research, ISSN: 2319-4863 1(4) (2012).
13.
LeeKai-Hui and ChiuPei-Ling, Digital Image Sharing by Diverse Image Media, IEEE Transactions On Information Forensics and Security, 9(1) (2014), 88–98.
14.
MunirRinaldi, RiyantoBambang, SutiknoSarwono and AgungWiseto P., An asymmetric watermarking method in the DCT domain based on RC4- permutation and chaotic map, Journal of ICT Research and Applications Institute Technology Bandung1(2) (2007).
15.
Darshana Mistry. Comparison of Digital Water Marking methods, International Journal on Computer Science and Engineering (IJCSE)02(09) (2010), 2905–2909.
16.
MetkarShilpa P. and LichadeMilind V., Digital Image Improvement By Integrating Watermarking and Encryption Technique, in Proc., IEEE International Conference on Signal Processing, Computing and Control (ISPCC), 26–28 Sept., 2013.
17.
DengF. and WangB., A novel technique for robust image watermarking in the DCT domain, in Proc. of the IEEE 2003 Int. Conf. on Neural Networks and Signal Processing, 2 (2003), 1525–1528.
18.
RamamurthyNallagarla and VaradarajanDr. S., The Robust Digital ImageWatermarking using Quantization and Fuzzy Logic Approach in DWT Domain International Journal of Computer Science andNetwork (IJCSN), ISSN: 2277-5420, 1(5) (2012).
19.
KumsawatP., PasitwilithamK., AttakitmongcolK. and SrikaewA., Optimization of Digital Image Watermarking Scheme Using Artificial Intelligent Technique International Journal of Mathematics and Computer in Simulation6(1) (2012).
20.
RamamurthyNallagarla and VaradarajanDr. S., Robust digital image watermarking scheme with neural network and fuzzy logic approach, International Journal of Emerging Technology and Advanced Engineering ISSN: 2250–2459 2(9) (2012).
21.
OueslatiSameh, CherifAdnene and SolaimaneBassel, Adaptive Image Watermarking Scheme Based On Neural Network, Sameh Oueslati et al./International Journal of Engineering Science and Technology (IJEST), ISSN: 0975-5462, 3(1) (2011).
22.
LandePankaj U., TalbarSanjay N. and ShindeG.N., Robust Image Adaptive Watermarking Using Fuzzy Logic an FPGA Approach, International Journal of Signal Processing, Image Processing and Pattern Recognition3(4) (2010).
23.
LandePankaj U., TalbarSanjay N. and ShindeG.N., A fuzzy logic approach to encrypted watermarking for still image in wavelet domain on FPGA, International Journal of Signal Processing, Image Processing and Pattern Recognition3(2) (2010).
24.
Perez-GonzalezF., BarniM., AbrardoA. and MosqueraC., Rational dither Modulation: A Novel Data-Hiding Method Robust toValue-Metric Scaling Attacks, IEEE International Workshop on Multimedia Signal Processing, Siena, Italy (2004), 139–142.
