About: Digital Images Authentication Technique Based on DWT, DCT and Local Binary Patterns

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type	http://eprints.org/ontology/ArticleEPrint http://eprints.org/ontology/EPrint Article Academic Article
seeAlso	HTML Summary of #69864 Digital Images Authentication Technique Based on DWT, DCT and Local Binary Patterns
sameAs	Digital Images Authentication Technique Based on DWT, DCT and Local Binary Patterns
http://eprints.org/ontology/hasDocument	Digital Images Authentication Technique Based on DWT, DCT and Local Binary Patterns (PDF) Digital Images Authentication Technique Based on DWT, DCT and Local Binary Patterns (Other) Digital Images Authentication Technique Based on DWT, DCT and Local Binary Patterns (Other) Digital Images Authentication Technique Based on DWT, DCT and Local Binary Patterns (Other) Digital Images Authentication Technique Based on DWT, DCT and Local Binary Patterns (Other) Digital Images Authentication Technique Based on DWT, DCT and Local Binary Patterns (Other)
http://eprints.org/ontology/hasPublished	Digital Images Authentication Technique Based on DWT, DCT and Local Binary Patterns (PDF)
dc:hasVersion	Digital Images Authentication Technique Based on DWT, DCT and Local Binary Patterns (PDF)
Title	Digital Images Authentication Technique Based on DWT, DCT and Local Binary Patterns
described by	https://demo.openlinksw.com/about/id/entity/https/raw.githubusercontent.com/annajordanous/CO644Files/main/export_kar_RDFN3.n3
Date	2018
Creator	Esteban Armas Vega Luis García Villalba Ana Sandoval Orozco J. Hernandez-Castro
status	peer reviewed published
Publisher	MDPI
abstract	In the last few years, the world has witnessed a ground-breaking growth in the use of digital images and their applications in the modern society. In addition, image editing applications have downplayed the modification of digital photos and this compromises the authenticity and veracity of a digital image. These applications allow for tampering the content of the image without leaving visible traces. In addition to this, the easiness of distributing information through the Internet has caused society to accept everything it sees as true without questioning its integrity. This paper proposes a digital image authentication technique that combines the analysis of local texture patterns with the discrete wavelet transform and the discrete cosine transform to extract features from each of the blocks of an image. Subsequently, it uses a vector support machine to create a model that allows verification of the authenticity of the image. Experiments were performed with falsified images from public databases widely used in the literature that demonstrate the efficiency of the proposed method.
Is Part Of	Sensors https://kar.kent.ac.uk/id/repository
Subject	QA 76 Software, computer programming, T Technology
list of authors	https://kar.kent.ac.uk/id/eprint/69864#authors
issue	10
volume	18
is topic of	https://raw.githubusercontent.com/annajordanous/CO644Files/main/export_kar_RDFN3.n3
is primary topic of	HTML Summary of #69864 Digital Images Authentication Technique Based on DWT, DCT and Local Binary Patterns

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