A Novel Image Splicing Detection Algorithm Based on Generalized and Traditional Benford’s Law

Abstract

Due to the ease of access to platforms that can be used by forgers to tamper digital documents, providing automatic tools for identifying forged images is now a hot research field in image processing. This paper presents a novel forgery detection algorithm based on variants of Benford's law. In the proposed method, Mean Absolute Deviation (MAD) feature is extracted using traditional Benford's law. Also, generalized Benford's law is used for mantissa distribution feature vector. In addition to Benford's law-based features, other statistical features are used to construct the final feature vector. Finally, support vector machine (SVM) with three different kernel functions is used to classify original and forged images. The method has been tested on two common image datasets (CASIA V1.0 and V2.0). The experimental results show that 0.27% and 0.21% improvements on CASIA V1.0 and CASIA V2.0 datasets were achieved, respectively in detection accuracy by the proposed method in comparison to best state-of-the-art methods. The proposed efficient algorithm has a simple implementation. Moreover, on the basis of Benford's law rich features are extracted from images so that classification process is efficiently performed by a simple SVM classifier in a short time.

Enhancing Book and Document Digitization from Videos: A Feature Fusion-Based Approach

“…This task can be useful for various applications, such as digital libraries, e-learning, cultural heritage preservation, and personal archiving (7)(8)(9). However, it also faces several difficulties (10). To address these challenges, various methods have been proposed in the literature (11)(12)(13) that can be broadly classified into two categories: framebased and video-based methods.…”

“…The authors use a GANbased resolution network (8) for face recognition. Parnak et al (10) proposed the forgery detection mechanism for the extraction of features from the image using Benford's law as a benchmark and on CASIA datasets. Rashno and Fadaeib (14) also proposed an image restoration model based on the convex set feature of the images.…”

Image Splicing Detection Using Generalized Whittaker Function Descriptor

“…In Parnak et al [10] a forgery detection system based on Benford's law variants and another statistical feature extraction was proposed. SVM was used as the main classifier, and the method was tested on two popular image datasets.…”

“…This method has a large number of features and a high level of computational complexity. Parnak et al [10] A forgery detection system based on Benford's law variants.…”