Detection of Fraudulent Alteration of Bank Cheques Using Image Processing Techniques

Author:

Raghavendra S. P.,Ahamed Shoieb,Danti Ajit,Rohit D.

Publisher

Springer Singapore

Reference15 articles.

1. Dongare, A.A., Ghongade, R.D.: Artificial intelligence based bank Cheque signature verification system. Int. Res. J. Eng. Technol. (IRJET) 03(01) (2016). e-ISSN: 2395–0056

2. Hassan, A.B., Fadlalla, Y.A.: A survey on techniques of detecting identity documents forgery. In: Sudan Conference on Computer Science and Information Technology (SCCSIT). IEEE (2017). 978-1-5386-0667- 4/17/\$31.00

3. Singh, A., Yadav, S.K.: An approach to detect alteration in text document. Int. J. Curr. Eng. Technol. 7(2), 2347–5161 (2017). E-ISSN 2277–4106, P-ISSN 2347–5161

4. Dhanva, K., Ariskrishnan, M.H., Babu, P.U.: Cheque image security enhancement in online banking. In: Second International conference on Inventive Communication and Computational Technologies (ICICCT), pp. 1256–1260 (2018)

5. Rajender, M., Pal, R.: Detection of manipulated cheque images in Cheque truncation system using mismatch in pixels. In: 2nd International conference on Business and Information Management (ICBIM), Durgapur, pp. 30–35 (2014)

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