A Study on Image Forgery Detection Techniques


  • Shijo Easow M.Tech, Student,Musaliar College of Engineering & Technology, Pathanamthitta, Kerala, India
  • Dr. L. C. Manikandan Professor, Dept. of CSE,Musaliar College of Engineering & Technology, Pathanamthitta, Kerala, India


Digital image, JPEG, Image forgery detection techniques, Digital signature, Digital water marking.


In this contemporary world, digital image plays a vital role in several application areas. Image forgery means that handling of the digital image to hide some significant or helpful information of the image. The aim of this study is to provide the knowledge of image forgery and its detection techniques for the new researchers.


Article in a Journal

. Xiaoqiang zhang and Xuesong wang, (November 2018), “Digital Image Encryption Algorithm Based on Elliptic Curve Public Cryptosystem.” IEEE Access, vol.6.

Available: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8528336

. Shwetha B and S V Sathyanarayana, (2017), ‘‘Digital image forgery detection techniques: a survey.” ACCENTS Transactions on Information Security, Vol.2 (5). Available:https://www.accentsjournals.org/paperInfo_online.php?journalPaperId=926&countPaper=251

. M.Y.Munirah,N.M.Nawi,N.Wahid and M.Shukra, (2016), “A comparative analysis of feature selection techniques for classification problems.” ARPN Journal of Engineering and Applied sciences, pp.13176-13187. Available:http://www.arpnjournals.org/jeas/research_papers/rp_2016/jeas_1116_5365.pdf

. Charmil Nitin Bharti and Purvi Tandel, (2016), “A Survey of Image Forgery Detection Techniques.” IEEE WiSPNET. Available: https://ieeexplore.ieee.org/document/7566257

. Vijay Chondagar,Harshiv Pandya and Mehul Panchal, (2015), ‘‘A Review: Shadow Detection and Removal.” International Journal of Computer Science and Information Technologies, Vol. 6(6). Available: https://pdfs.semanticscholar.org/6b2c/8d74727f62569f8b0397deb7512ddf944d75.pdf

. R.W.Ibrahim, Z.Moghaddasi, H.A.Jalab and R.M.Noor, (2015) “Fractional differential texture descriptors base on the mach ado entropy for image splicing detection.” International Journal of Computer Science issues, pp.4775-4786.

Available: https://pdfs.semanticscholar.org/49d5/b0b62fca0b20680697aa9238467f3f33f516.pdf

. A. Makandar and B. Halalli, (2015), “A review on preprocessing techniques for digital mammography images.” International Journal of computer applications, pp.0975-887. Available:https://pdfs.semanticscholar.org/82f6/787a9b2e703feb3abb3b3e728dc8702fb637.pdf

. A.Phkan and M.Borah, (2014), “A survey paper on the feature extraction module of offline handwriting character recognition.” International Journal of computer Engineering and Applications, pp.51-60.

Available: https://pdfs.semanticscholar.org/c9d6/e01e189d81f3ad2f08cabbcbd12cdf92db90.pdf

. L.C.Manikandan and Dr.R.K.Selvakumar, (2014), “A New Review on H.264 Video Coding Standard.” International Journal of Scientific Research,Vol.3, Issue.9.

Available:https://www.worldwidejournals.com/international-journal-of-scientific-research (IJSR)/articles.php?val=MzkxNA==&b1=189&k=48

. Y.Q.Zhao, M.Liao, F.Y.Shih and Y.Q.Shi, (2013), “Tampered region detection of inpainting JPEG images.” International Journal on light electron optics, pp.2487-2492. Available:https://www.researchgate.net/publication/256821420_Tampered_region_detection_of_inpainting_JPEG_images

. V.Christlein, C.Riess, J.Jordan and E.Angelopoulou, (2012) “An evaluation of popular copy-move forgery detection Approaches.” IEEE Transactions on information forensics and security, pp.1841-1854. Available: https://arxiv.org/pdf/1208.3665.pdf

. F.Peng,Y.Nie and M.Long, (2011) “A complete passive blind image copy-move forensics scheme based on compound statistics features.” International journal of Fornsic science, pp.21-25.

Available: https://www.ncbi.nlm.nih.gov/pubmed/21726968

. B.Soloria and A.K.Nandi, (2011), “Automated detection and localization of duplicated regions affected by reflection, rotation and scaling in image forensics.” International Journal of signal Processing, pp.1759-1770. Available: https://dl.acm.org/citation.cfm?id=1975324

. B.Mahdian and S.Saic, (2010), “Blind methods for detecting image fakery.” IEEE Aerospace Electron System Management, pp.18-24.

Available: https://ieeexplore.ieee.org/document/5467652/authors#authors

. Z.Y. and N.R.Cao Gang, (2009), “Detection of image sharpening based on histogram aberration and ringing artifacts.” IEEE ICME, pp.1026-1029.

Available: https://ieeexplore.ieee.org/abstract/document/5202672

. H.Farid, (2006), “A survey of image forgery detection.” IEEE Signal Processing Magazine, pp.6-25. Available: http://ceng2.ktu.edu.tr/~gulutas/dif/1.pdf

. H.Bin Zang, C.Yang and X.Mei Quan, (2004), “Image authentication based on digital signature and semi-fragile watermarking.” Journal of Computer and Technology.

Available: https://link.springer.com/article/10.1007/BF02973435

. C.S.Lu and H.Y.Mark Liao, (2003), “Structural digital signature for image authentication: An incidental Distortion Resistant Scheme.” IEEE Transactions on multimedia.

Available: https://www.iis.sinica.edu.tw/papers/lcs/1745-F.pdf

Articles from Conference Proceedings

. M.Ghorbani,M.Firouzmand and A.Faraahi,“DWT-DCT(QCD) based copy-move image forgery detection.” International conference on systems, signals and image processing,2011, pp.1-4. Available: https://ieeexplore.ieee.org/abstract/document/5977368

.. Z.Zhou and X.Zhang, “Image splicing detection based on image quality and analysis of variance.” International Conference on education technology and computer (ICETC)2010, pp.242-246.

Available: https://ieeexplore.ieee.org/document/5529692

.. P.Sutthiwan,Y.Q.Shi,S.Wei and N.Tian,“Rake transform and edge statistics for image forgery detection.” IEEE international conference on multimedia, 2010, pp.1463-1468.

Available: https://ieeexplore.ieee.org/document/5583264

. Z.Fang,S.Wang and X.Zhang, “Image splicing detection using camera inconsistency.” International Conference on multimedia information networking and security,2009, pp.20-4.

Available: https://ieeexplore.ieee.org/abstract/document/5368456

. W.Lu,W.Sun and J.W.Huang, “Digital image forensics using statistical features and neural network classifiers.” International conference on machine learning and cybernetics,2008, pp.12-15.

Available: https://ieeexplore.ieee.org/document/4620890

Z.Zhang,Y.Ren.X.J.Ping,Z.Y.He and S.Z.Zhang, “A survey on passive blind image forgery by doctor method detection.” International conference on Machine learning and cybernetics,2008, pp.3463-3467. Available: https://ieeexplore.ieee.org/document/4621003

. W.Luo,J.Huang and G.Qiu, “Robust detection of region-duplication forgery in digital images.” International conference on Pattern recognition,2006,pp.746-749.

Available: https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=11159

. Fridrich J, “Robust bit extraction from images.” IEEE international conference on in multimedia computing and systems,1999,pp. 536-540. Available: https://ieeexplore.ieee.org/document/778542




How to Cite

Easow, S., & Manikandan, D. L. C. (2019). A Study on Image Forgery Detection Techniques. International Journal of Computer (IJC), 33(1), 84–81. Retrieved from https://ijcjournal.org/index.php/InternationalJournalOfComputer/article/view/1411