Nowadays, text detection and localization have gained much popularity in the field of text
analysis systems as they pave the way for the number of real-time based applications like …

With the increasing popularity of portable camera devices and embedded visual processing,
text extraction from natural scene images has become a key problem that is deemed to …

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 …

This paper presents a fast and efficient method for classifying X-ray images using random
forests with proposed local wavelet-based local binary pattern (LBP) to improve image …

One of the major applications of text retrieval from images is to extract the text information
and then recognize its characters. This is helpful for indexing the images within storage …

Textual information in images and video frames constitutes a valuable source of high-level
semantics for multimedia indexing and retrieval systems. Text detection is the most crucial …

Adaptive thresholding, the simple way to perform image segmentation, is a form of image
thresholding used to classify pixels as dark and light. Taking grayscale image as an input for …

Text in natural scene images usually carries abundant semantic information. However, due
to variations of text and complexity of background, detecting text in scene images becomes a …

Owing to technological advancements and new inventions, the world is transforming into a
digital world where cameras have replaced the scanners for converting the hard copy …

In this paper, a multilingual text detection method is proposed, which focus on finding all of
the text regions in natural scene regardless of their language type. According to rules of …