Exposing Digital Image Forgeries by Illumination Color Classification
Journal Title: International Journal of Scientific Research and Management - Year 2015, Vol 3, Issue 1
Abstract
In this paper, we tend to analyze one amongst the foremost common styles of photographic manipulation,called image composition or splice. We tend to propose a forgery detection methodology that exploits refinedinconsistencies within the color of the illum ination of pictures. Our approach is machine - learning primarily basedand needs borderline user interaction. The technique is applicable to pictures containing 2 or a lot of folks and needsno professional interaction for the meddling call. To attain this, w e tend to incorporate info from physics - andstatistical - based fuel estimators on image regions of comparable material. From these fuel estimates, we tend toextract texture - and edge - based options that square measure then provided to a machine - learning appr oach forautomatic decision - making. The classification performance victimization associate degree SVM meta - fusion classifieris promising
Authors and Affiliations
Shaziya . P . S. Khan
Keywords
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- EP ID EP214625
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