With the surge in realistic text tampering, detecting fraudulent text in images has gained prominence for maintaining information security. However, the high costs associated with professional text manipulation and annotation limit the ...

• A new dataset for text manipulation detection with diverse handcraft manipulations
• An asymmetric dual-stream baseline framework to exploit different transformed domains
• An aggregation hub and a fusion module for efficient multi-...

Document analysis and recognition techniques are evolving quickly and have been widely used in real-world applications. However, detecting tampered text in images is rarely studied. Existing image forensics research mainly focuses on detecting ...

Resampling detection is one of the most important topics in image forensics. Some methods can even estimate the resampling factors. However, it remains a challenge on the post-compressed images because the JPEG compression destroys the statistical ...

Visual privacy protection (VPP) is to protect individual’s privacy information in digital images or videos against being seen, such as portrait etc. Once being protected, the privacy may be imperceptible. Forensics of visual privacy protection is ...

Resampling detection is one of the most important topics in image forensics, and the most widely used method in resampling detection is spectral analysis. Since JPEG is the most widely used image format, it is reasonable that the resampling operation is ...

Halftone images are usually used in facsimile and halftone image steganography can be used for facsimile channel. In recent years, real-time image processing becomes more and more important. In this paper, an efficient block-based steganographic method ...

Scaling factor estimation is one of the most important topics in image forensics. The existing methods mainly employ the peak of the Fourier spectrum of the variance on image difference to detect the scaling factor. However, when the image is compressed,...

In this paper, we propose a novel steganalytic scheme based on local texture pattern (LTP) to detect binary image steganography. We first assess how the expanded LTPs capture embedding distortions exactly. Considering curse of ...