The history of text can be traced back over thousands of years. Rich and precise semantic
information carried by text is important in a wide range of vision-based application …

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

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 …

In recent times, text detection in the wild has significantly raised its ability due to tremendous
success of deep learning models. Applications of computer vision have emerged and got …

Motivated by the success of powerful while expensive techniques to recognize words in a
holistic way (Goel et al., 2013; Almazán et al., 2014; Jaderberg et al., 2016) object proposals …

In this paper we propose a new solution to the text detection problem via border learning.
Specifically, we make four major contributions: 1) We analyze the insufficiencies of the …

Text in an image provides vital information for interpreting its contents, and text in a scene
can aid a variety of tasks from navigation to obstacle avoidance and odometry. Despite its …

The adoption of electronic health records (EHRs) is an important step in the development of
modern medicine. However, complete health records are not often available during …

Scene text erasing, which replaces text regions with reasonable content in natural images,
has drawn significant attention in the computer vision community in recent years. There are …

In computer vision, each region of an image has an equal and important value that is either
an object in an image or the text. The appearance of text within images is certainly a rich …