Detection of Fraudulent Alteration of Bank Cheques Using Image Processing Techniques
- Title
- Detection of Fraudulent Alteration of Bank Cheques Using Image Processing Techniques
- Creator
- Raghavendra S.P.; Ahamed S.; Danti A.; Rohit D.
- Description
- In todays world illegal alteration and illegal modifications of authenticated financial documents is increasing rapidly as a fastest growing crimes around the world. The result of this kind of crimes may result in a huge financial loss. In this paper image processing and document image analysis techniques are used to examine such cases in order to identify the fraudulent bank cheques. However, it is very difficult to detect an alteration made on documents once the printing ink of alike color is employed. In this paper, alterations and modifications caused with handwritten ball point pen strokes are considered and proposed a technique for recognition of such types of corrections by employing standard techniques under Digital image processing and pattern recognition. The results are quite promising during the experiments conducted. 2021, Springer Nature Singapore Pte Ltd.
- Source
- Communications in Computer and Information Science, Vol-1380, pp. 469-477.
- Date
- 2021-01-01
- Publisher
- Springer Science and Business Media Deutschland GmbH
- Subject
- Alteration detection; Fraudulent cheques; Morphological thinning; Trimmed mean function
- Coverage
- Raghavendra S.P., Department of Computer Application, JNN College of Engineering, Shimoga, Karnataka, India; Ahamed S., Department of Computer Science, GFGC, Sorab(T), Shimoga, Karnataka, India; Danti A., Department of Computer Science and Engineering, Christ (Deemed to be University), Bangalore, Karnataka, India; Rohit D., NMIT, Bangalore, Karnataka, India
- Rights
- Restricted Access
- Relation
- ISSN: 18650929; ISBN: 978-981160506-2
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Raghavendra S.P.; Ahamed S.; Danti A.; Rohit D., “Detection of Fraudulent Alteration of Bank Cheques Using Image Processing Techniques,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 25, 2025, https://archives.christuniversity.in/items/show/20601.