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IMAGE QUALITY FEATURE BASED DETECTION ALGORITHM FOR FORGERY IN IMAGES

Title: IMAGE QUALITY FEATURE BASED DETECTION ALGORITHM FOR FORGERY IN IMAGES
Authors: Shrishail Math; R. C. Tripathi
Contributors: The Pennsylvania State University CiteSeerX Archives
Source: http://airccse.org/journal/ijcga/papers/1111ijcga02.pdf.
Collection: CiteSeerX
Description: The verifying of authenticity and integrity of images is a serious research issue. There are various types of techniques to create forged images for various intentions. In this paper, Attempt is made to verify the authenticity of image using the image quality features like markov and moment based features. They are found to have their best results in case of forgery involving splicing.
Document Type: text
File Description: application/pdf
Language: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.208.5369; http://airccse.org/journal/ijcga/papers/1111ijcga02.pdf
Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.208.5369; http://airccse.org/journal/ijcga/papers/1111ijcga02.pdf
Rights: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Accession Number: edsbas.1B2C3CBF
Database: BASE