Text in natural scene images plays a vital role in scene understanding. It contains a rich and
abundant amount of valuable semantic information useful in many applications such as …

Text extraction in video documents, as an important research field of content-based
information indexing and retrieval, has been develo** rapidly since 1990s. This has led to …

Text data present in images and video contain useful information for automatic annotation,
indexing, and structuring of images. Extraction of this information involves detection …

Text in images and video frames carries important information for visual content
understanding and retrieval. In this paper, by using multiscale wavelet features, we propose …

We describe a specification-based approach to detect exploitations of vulnerabilities in
security-critical programs. The approach utilizes security specifications that describe the …

This paper presents a new method for detecting and recognizing text in complex images and
video frames. Text detection is performed in a two-step approach that combines the speed of …

In this paper, we have proposed a novel scheme for the extraction of textual areas of an
image using globally matched wavelet filters. A clustering-based technique has been …

Unsolicited commercial email (UCE), also known as spam, has been a major problem on the
Internet. In the past, researchers have addressed this problem as a text classification or …

This work's primary goal is to secure the transmission of text hidden within the cover image
using steganography over a public network of computers. Steganography is a powerful tool …

The role of intelligence and security informatics based on statistical computations is
becoming more significant in detecting terrorism activities proactively as the extremist …