Document Fraud Detecting System

Author:

Bhagya. S 1,Dr. Sajeev J 1

Affiliation:

1. Sree Narayana Institute of Technology, Kollam, Kerala, India

Abstract

“Document Fraud Detecting System” deals with detection of fraud documents as well as copied contents from the existing documents. The system has a wide range of applications. This can be implemented in various fields. The proposed system is implemented for colleges , where documents submitted by students are checked for fraudulent activities. Whenever a fraudulent activity is detected a warning is send to the student. The existing system contains lots of paper work. It is difficult to detect any fraudulent documents and also it is a tedious work to find copied contents from the internet. In the proposed system the admin can register the staffs and students. The students can submit their assignments to the staff. The staff verifies the assignments by comparing existing assignment and the system detects whether the assignments submitted by the students are copied or not. Whenever a fraudulent activity is identified a warning is send to the student. If the document is genuine the staff can give suggestions about the document to the students. Then the student can rewrite their assignments according to the suggestions and submit their hardcopy. Document fraud is an intentional act designed to obtain a financial advantage or an undue service. To be efficient as possible, fraud detection must combine several complementary analysis methods, which together allow an optimal appreciation of the authenticity of the elements. Document fraud has become the third largest criminal industry world. Prevention of fraud and abuse has become a major concern of many organizations .Fraud detection involves a static approach, which searches for inconsistencies in the compositional profile of the object, and a dynamic approach which examines the aging process.

Publisher

Naksh Solutions

Subject

General Medicine

Reference8 articles.

1. [1] Khyati Chaudhary, Jyoti Yadav and Bhawna Mallick, "A review of Fraud Detection Techniques: Credit Card", International

2. Journal of Computer Applications, vol. 45, no. 1, pp. 0975-8887, 2012.

3. [2] E.M. Carneiro, L.A.V. Dias, A.M. Da Cunha and L.F.S. Mialaret, "Cluster analysis and artificial neural networks: A

4. casestudy in credit card fraud detection", 12th International Conference on Information Technology-New Generations, pp. 122-126, 2015.

5. [3] Pradheepan Raghavan and Neamat El Gayar, "Fraud Detection using Machine Learning and Deep Learning", International

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