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Issue title: Special section: Soft Computing and Intelligent Systems: Techniques and Applications
Guest editors: Sabu M. Thampi, El-Sayed M. El-Alfy and Ljiljana Trajkovic
Article type: Research Article
Authors: Gonge, Sudhanshu Suhas; *
Affiliations: Assistant Professor, Department of Computer Engineering, Vishwakarma Institute of Technology (An Autonomous Institute Affiliated to Savitribai Phule Pune University) Pune, India
Correspondence: [*] Corresponding author. Sudhanshu Suhas Gonge, Assistant Professor, Department of Computer Engineering, Vishwakarma Institute of Technology (An Autonomous Institute Affiliated to Savitribai Phule Pune University) Pune, India. E-mail: sudhanshu1984gonge@rediffmail.com.
Abstract: 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.
Keywords: Digital image watermarking, attacks, AES, encryption, decryption, neural network
DOI: 10.3233/JIFS-179727
Journal: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 5, pp. 6465-6474, 2020
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