This paper analyzes, compares, and contrasts technical challenges, methods, and the
performance of text detection and recognition research in color imagery. It summarizes the …

Text, as one of the most influential inventions of humanity, has played an important role in
human life, so far from ancient times. The rich and precise information embodied in text is …

Presents a review of 200 references in content-based image retrieval. The paper starts with
discussing the working conditions of content-based retrieval: patterns of use, types of …

High level semantics embodied in scene texts are both rich and clear and thus can serve as
important cues for a wide range of vision applications, for instance, image understanding …

Recognition of text in natural scene images is becoming a prominent research area due to
the widespread availablity of imaging devices in low-cost consumer products like mobile …

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

The increasing availability of high-performance, low-priced, portable digital imaging devices
has created a tremendous opportunity for supplementing traditional scanning for document …

The current paper presents a novel texture-based method for detecting texts in images. A
support vector machine (SVM) is used to analyze the textural properties of texts. No external …

Textual data is very important in a number of applications such as image database indexing
and document understanding. The goal of automatic text location without character …

Text that appears in a scene or is graphically added to video can provide an important
supplemental source of index information as well as clues for decoding the video's structure …