Please use this identifier to cite or link to this item: https://idr.nitk.ac.in/jspui/handle/123456789/8806
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dc.contributor.authorVerma, G.-
dc.contributor.authorGawande, S.M.-
dc.contributor.authorBhura, M.-
dc.contributor.authorKoolagudi, S.G.-
dc.date.accessioned2020-03-30T10:22:46Z-
dc.date.available2020-03-30T10:22:46Z-
dc.date.issued2016-
dc.identifier.citationProcedia Computer Science, 2016, Vol.89, , pp.587-596en_US
dc.identifier.urihttps://idr.nitk.ac.in/jspui/handle/123456789/8806-
dc.description.abstractThere is a loophole between the Mazuma card standards followed in the banks and the financial frauds done by the Mazuma card cloning. It undertakes two primary tasks; namely understanding of the traditional standard cash card provided by the banks and a proposed methodology to make them more secure to reduce the Mazuma card frauds. The methodology utilizes the watermarking procedure to embed the customer's unique signature in the magnetic stripe of the Mazuma card which plays a prominent role to authenticate the utilizer. This authentication mechanism is a subsidiary while transaction to secure cash card from being cloned via skimming contrivance. In this paper we compute the Laplacian coordinates and then construct vectors (histogram) followed by embedding the watermark adjusting the state of that histogram. We hide all the users details in this watermark. The watermark extraction is done blindly without referencing the host model. It is also robust and resists the geometrical transformation such as translation, uniform scaling, rotation and vertex reordering. � 2016 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license.en_US
dc.titlePolygonal Meshes Predicated Watermarking Algorithm to Avert Misinterpretation of ATM Cardsen_US
dc.typeBook chapteren_US
Appears in Collections:2. Conference Papers

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