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 …

Many computer vision-based techniques utilize semantic information ie scene text present in
a natural scene for image analysis. Subsequently, in recent times researchers pay more …

Most state-of-the-art text detection methods are specific to horizontal Latin text and are not
fast enough for real-time applications. We introduce Segment Linking (SegLink), an oriented …

We propose a novel Connectionist Text Proposal Network (CTPN) that accurately localizes
text lines in natural image. The CTPN detects a text line in a sequence of fine-scale text …

Previous deep learning based state-of-the-art scene text detection methods can be roughly
classified into two categories. The first category treats scene text as a type of general objects …

We present a novel single-shot text detector that directly outputs word-level bounding boxes
in a natural image. We propose an attention mechanism which roughly identifies text regions …

Recently, scene text detection has become an active research topic in computer vision and
document analysis, because of its great importance and significant challenge. However, vast …

In this paper, we develop a new approach called DeepText for text region proposal
generation and text detection in natural images via a fully convolutional neural network …

Scene text detection and recognition has become a very active research topic in recent
several years. It can find many applications in reality ranging from navigation for vision …

The latest research in the field of recognition of image characters has led to various
developments in the modern technological works for the improvement of recognition rate …