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

Scene texts contain rich semantic information which may be used in many vision-based
applications, and consequently detecting and recognizing scene texts have received …

Extraction and recognition of text present in video has become a very popular research area
in the last decade. Generally, text present in video frames is of different size, orientation …

Character segmentation is an important topic to improve the overall performance of text
recognition methods due to low resolution, complex background and lots of visual variations …

Extraction and recognition of Bangla text from video frame images is challenging due to
fonts type and style variation, complex color background, low-resolution, low contrast etc. In …

Word segmentation has become a research topic to improve OCR accuracy for video text
recognition, because a video text line suffers from arbitrary orientation, complex background …

Although a large number of methods for video text detection and recognition have been
proposed over the past years, it is hard to find the best state-of-the-art method because of …

This paper presents a two-stage method for multi-oriented video character segmentation.
Words segmented from video text lines are considered for character segmentation in the …

Word segmentation from video text line is challenging because video poses several
challenges, such as complex background, low resolution, arbitrary orientation, etc. Besides …

In the previous chapter, the methods for text detection from natural scene and video image
are discussed. To recognize text, the methods require characters. Therefore, this chapter …