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dc.contributor.authorRaju, U.S.N.-
dc.contributor.authorGeorge, Shibin-
dc.contributor.authorSandeep, Irlanki-
dc.contributor.authorKiran, Kothuri Sai-
dc.date.accessioned2025-01-18T06:26:44Z-
dc.date.available2025-01-18T06:26:44Z-
dc.date.issued2015-
dc.identifier.citation10.1109/ICOSC.2015.7050797en_US
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/2777-
dc.descriptionNITWen_US
dc.description.abstractThis paper presents an efficient image authentication system. The authentication signature is extracted from WFA encoding of the image. For noises that are more textural rather than color-based, we transform the image using a Local-Binary-Pattern filter, which is then converted to automata. We present a technique that incorporates the weights of the WFA, unlike previous works.en_US
dc.language.isoenen_US
dc.publisherProceedings of the 2015 IEEE 9th International Conference on Semantic Computing, IEEE ICSC 2015en_US
dc.subjectWeighted Finite Automataen_US
dc.subjectAuthenticationen_US
dc.titleWeighted Finite Automata based on Local Patterns for Image Authenticationen_US
dc.typeOtheren_US
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