Forgery Detection in Documents

International Journal of Electronics and Communication Engineering
© 2018 by SSRG - IJECE Journal
Volume 5 Issue 5
Year of Publication : 2018
Authors : Balaji V , Ajith Kumar P, Kiren Aananth A, Gunasekar N and Ciyamala Kushbu S
How to Cite?

Balaji V , Ajith Kumar P, Kiren Aananth A, Gunasekar N and Ciyamala Kushbu S, "Forgery Detection in Documents," SSRG International Journal of Electronics and Communication Engineering, vol. 5,  no. 5, pp. 15-20, 2018. Crossref,


Paper is extremely important and has been a carrier of information for decades. Just as every coin has two sides, paper has been put to use for various malicious purposes. This has been possible by the use of technology as modification of documents are possible. All kinds of details from authority seal, signature and texting are being manipulated. As a result, both public and private companies are facing enormous losses in time and economic resources. Apart from forensic techniques, no other method has been successful in the detecting forgery when it comes to documents. There are various methods in which forgery can be performed and at the same tome there are various methods for detecting forgery. Various kinds of printers are used in manipulating documents namely inkjet printers and electrostatic copiers. These devices leave a distinct and specific signature and these are exploited. Apart from that signatures and seals from one document to another are being forged by means of copy move forgery. This problem is being handled by repeated segmentation and feature extraction techniques.


Forgery Detection, SURF, Document Forgery, Copy Move forgery detection.


[1] Local binary patterns for document forgery detection. Francisco Cruz, Nicolas Sidere, Mickael Coustaty 2017 14th IAPR International Conference on Document Analysis and Recognition. 
[2] Mehak, Tarun Gulati,"Detection of Digital Forgery Image using Different Techniques"International Journal of Engineering Trends and Technology (IJETT),Volume-46 Number-8,2017. 
[3] Detecting documents forged by printing and Copying. Shize Shang, Nasir Memon and Xiangwei Kong EURASIP Journal on Advances in Signal Processing 2014, 2014:140 
[4] A Novel Segmentation Based Copy-Move Forgery Detection in Digital Images. Resmi M.R. Vishnukumar S. 2017 International Conference on Networks & Advances in Computational Technologies (NetACT) |20-22 July 2017| Trivandrum 
[5] Detection of Digital Photo Image Forgery. S.Murali, Basavaraj S. Anami, Govindraj B. Chittapur. 2012 IEEE International Conference on Advanced Communication Control and Computing Technologies (ICACCCT) 
[6] Image Forgery Types and Their Detection: A Review. Snigdha K. Mankar, Prof. Dr. Ajay A. Gurjar. Volume 5, Issue 4, April 2015 ,ISSN: 2277 128X , International Journal of Advanced Research in Computer Science and Software Engineering 
[7] COMPARISON BETWEEN IMAGE FORGERY DETECTION ALGORITHMS. Mohammed N. Nazli, Ashraf Y. A. Maghari 2017 8th International Conference on Information Technology (ICIT) 
[8] Passive forensics for copy-move image forgery using a method based on DCT and SVD. Jie Zhao, Jichang Guo School of Electronic Information Engineering, Tianjin University, Tianjin 300072, China b School of Computer and Information Engineering, Tianjin Chengjian University, Tianjin 300384, China 
[9] S.L.Jothilakshmi, K Valli, A.Vanitha, A. Selva nathiya, A.Shunmuga priya," Automatic Machine Learning Forgery Detection Based On Svm Classifier",International Journal of Mechanical Engineering (SSRG-IJME),Volume 1 Issue1- 2014. 
[10] example for image retouching 
[11] for image splicing 
[12] . for copy move forgery. 
[13] Image Forgery Detection Using Adaptive Over-Segmentation and Feature Point Matching 
[14] Chi-Man Pun, Senior Member, IEEE, Xiao-Chen Yuan, Member, IEEE, and Xiu-Li Bi Haritha Damarla,"Research Methodology on Offline and Online Signature Verification and Forgery Detection",International Journal of Computer Science and Engineering (SSRG-IJCSE),Volume-4 Issue-11 2017. 
[15] Accurate and Efficient Image Forgery Detection Using Lateral Chromatic Aberration Owen Mayer, Student Member, IEEE, Matthew C. Stamm, Member, IEEE Dr.S.Kannan, Mr.T.Pushparaj,"An Analysis of Software Testing Security using Quality Assurance and Reliability",International Journal of Computer & Organization Trends (IJCOT),Volume - 7 Issue - 6 2017. 
[16] A New Block-based Copy-Move Forgery Detection Method in Digital Images Hajar Moradi-Gharghani and Mehdi Nasri International Conference on Communication and Signal Processing, April 6-8, 2016, India 
[17] Survey of Copy-Paste Forgery Detection in Digital Image Forensic. Anushree U. Tembe, Priya S. Thombre International Conference on Innovative Mechanisms for Industry Applications (ICIMIA 2017).