HOUGH TRANSFORM GENERATED STRONG IMAGE HASHING SCHEME FOR COPY DETECTION

Authors

  • Mayank Srivastava GLA University, Mathura
  • Jamshed Siddiqui Department of Computer Science, Aligarh Muslim University, Aligarh (UP)
  • Mohammad Athar Ali Department of Computer Engineering, Aligarh Muslim University, Aligarh (UP)

DOI:

https://doi.org/10.32890/jict2018.17.4.2786

Keywords:

Content-based copy detection, digital watermarking, discrete wavelet transform, hough transform, image forensics, image hashing

Abstract

The rapid development of image editing software has resulted in widespread unauthorized duplication of original images. This has given rise to the need to develop robust image hashing technique which can easily identify duplicate copies of the original images apart from differentiating it from different images. In this paper, we have proposed an image hashing technique based on discrete wavelet transform and Hough transform, which is robust to large number of image processing attacks including shifting and shearing. The input image is initially pre-processed to remove any kind of minor effects. Discrete wavelet transform is then applied to the pre-processed image to produce different wavelet coefficients from which different edges are detected by using a canny edge detector. Hough transform is finally applied to the edge-detected image to generate an image hash which is used for image identification. Different experiments were conducted to show that the proposed hashing technique has better robustness and discrimination performance as compared to the state-of-the-art techniques. Normalized average mean value difference is also calculated to show the performance of the proposed technique towards various image processing attacks. The proposed copy detection scheme can perform copy detection over large databases and can be considered to be a prototype for developing online real-time copy detection system. 

 

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Author Biographies

Jamshed Siddiqui, Department of Computer Science, Aligarh Muslim University, Aligarh (UP)

Prof Jamshed Siddiqui is working as a Professor in Department of Computer Science, Aligarh Muslim University, Aligarh (U.P), India. He holds Masters in Computers Science and obtained his Ph.D. degree in Information Systems from Indian Institute of Technology (IIT), Roorkee, Uttarakhand,India. His research areas and special interests include Information Systems, MIS, Systems Analysis & Design, Knowledge Management Systems, E-Business, Data Mining and Parallel Computing. He has published various papers in journals of international repute such as Journal of information technology, TQM Magazine, (Emerald Group Publishing Ltd.), Business process management journal, (Emerald group publishing ltd.), Journal of information, knowledge and management, Journal of systems management, International journal of services and operations management etc.

Mohammad Athar Ali, Department of Computer Engineering, Aligarh Muslim University, Aligarh (UP)

Dr. Mohammad Athar Ali is working as an Associate Professor in Department of Computer Engineering, Zakir Hussain College of Engineering & Technology, Aligarh Muslim University, Aligarh, U.P., India since 2000. He has earned his B.Tech and M.Tech in Computer Engineering from the Department of Computer Engineering, Aligarh Muslim University, Aligarh and Ph.D. from Department of Computer Science, Loughborough University,UK. His research interests include image and video coding, multimedia information security, data forensics etc.

Additional Files

Published

01-10-2018

How to Cite

Srivastava, M., Siddiqui, J., & Ali, M. A. (2018). HOUGH TRANSFORM GENERATED STRONG IMAGE HASHING SCHEME FOR COPY DETECTION. Journal of Information and Communication Technology, 17(4), 653–678. https://doi.org/10.32890/jict2018.17.4.2786