NOW - LBP GLCM Feature as the Texture Descriptor of the Camera Fingerprint in Image Forensics

被引:0
|
作者
Raj, Aiswariya [1 ]
Sankar, Deepa [1 ]
机构
[1] Cochin Univ Sci & Technol, Sch Engn, Div Elect Engn, Cochin, Kerala, India
关键词
Source camera identification; Digital Image Forensics; Camera finger print; Image classification; Texture feature extraction; IDENTIFICATION;
D O I
10.1109/INDICON56171.2022.10039695
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Digital Image Forensics (DIF) aims to ensure the authenticity of a digital image and also it identifies the origin of the image and detects the forgeries/ tampering in an image. This paper proposes a texture descriptor of the camera fingerprint, for Source Camera Identification. Gray Level Co-occurance Matrix (GLCM) of Non - Overlapping Window Local Binary Pattern(NOW-LBP GLCM) feature of the noise residual of an image is identified and used as the texture feature of the camera fingerprint to detect the source camera/origin of the image. The experimental results shows that this feature can be used to distinguish 4 source cameras with a detection accuracy of 99.61% and 98.41% respectively for two different sets of cameras.
引用
收藏
页数:6
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