Open AccessTexture based Image Splicing Forgery Recognition using a Passive Approach
Author(s) -
Asif Hassan,
Vaishali Sharma
Publication year - 2021
Publication title -
international journal of integrated engineering/international journal of integrated engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.215
H-Index - 10
eISSN - 2600-7916
pISSN - 2229-838X
DOI - 10.30880/ijie.2021.13.04.010
Subject(s) - texture (cosmology) , computer science , trustworthiness , image (mathematics) , artificial intelligence , computer vision , image texture , image editing , software , identification (biology) , the internet , image processing , pattern recognition (psychology) , computer security , world wide web , botany , biology , programming language
With the growing usage of the internet in daily life along with the usage of dominant picture editing software tools in creating forged pictures effortlessly, make us lose trust in the authenticity of the images. For more than a decade, extensive research is going on in the Image forensic area that aims at restoring trustworthiness in images by bringing various tampering detection techniques. In the proposed method, identification of image splicing technique is introduced which depends on the picture texture analysis which characterizes the picture areas by the content of the texture. In this method, an image is characterized by the regions of their texture content. The experimental outcomes describe that the proposed method is effective to identify spliced picture forgery with an accuracy of 79.5%.