Natural scene images are generally captured with portable devices such as mobile phone cameras. Scene images contains text information as part of captured scene. Scene image text poses difficultly in processing as compared to document text due to complexity of scene and open environment conditions. Scene images usually suffer from skew deformation due to inherent nature of portable capturing de...

We propose a text scanner, which detects wide text strings in a sequence of scene images. For scene text detection, we use a multiple-CAMShift algorithm on a text probability image produced by a multi-layer perceptron. To provide enhanced resolution of the extracted text images, we perform the text detection process after generating a mosaic image in a fast and robust image registration

We propose a method of extracting explanatory text of images from HTML files based both on retrieval of similar images and expansion of keywords using co-occurrence. Images in web pages often have their explanatory text in the same pages. Such explanatory text includes important keywords that explain the corresponding image. It is therefore reasonable to put these keywords to the image for fulf...

The automatic detection of text within a natural image is an important problem in many applications. Text detection in natural images has gained much attention in the last years as it is a primary step towards fully autonomous text recognition. It needs to be fast, efficient and robust in order to feed an OCR classifier with the correct input. In other words, segmented regions must correspond t...

Most web pages typically contain both images and text. However, most current search engines index documents based on text only. In order to facilitate effective search for images on the web, we need to complement text with the visual content of the images. We often look for images containing specific objects having some particular spatial and topological relations among them. In this paper, we ...

We consider dynamic scenes consisting of moving points whose motion is constrained to happen in one of a pencil of planes. This is for example the case when rigid objects move independently, but on a common ground plane (each point moves in one of a pencil of planes parallel to the ground plane). We consider stereo pairs of the dynamic scene, taken by a moving stereo system, that allow to obtai...

Text is commonly printed on a complex background. Segmenting text is an important part in document analysis. In the past some methods have been shown for the segmentation of texts with images. However, previous studies have not sufficiently addressed complex compound documents. This investigation presents an algorithm for the segmentation of text in various document images. The proposed segment...

The Text mining guided by No Textual data (TNT) is not intended to extract the information contained in the images, aiming the information included in the text that describes these images. In other words, it aims to present to the reader the information about the images next to them, regardless of its real position in the document. Reading, while focusing on no textual data (images, pictures, v...

Web search engines index text represented in symbolic form. However, it is well known that a fraction of the text on the web is present in the form of images, and the textual content of these images is not indexed by the search engines. This fact immediately raises a few questions: i) What fraction of the images on the web contain text? ii) What fraction of the text content of these images does...

This paper presents a methodology for extracting text from images such as document images, scene images etc. Text that appears in these images contains important and useful information. Text extraction in images has been used in large variety of applications such as mobile robot navigation, document retrieving, object identification, vehicle license plate detection, etc. In this paper, we emplo...