This report presents the final results of the ICDAR 2013 Robust Reading Competition. The
competition is structured in three Challenges addressing text extraction in different …

Scene text detection is attracting more and more attention and has become an important
topic in machine vision research. With the development of mobile IoT (Internet of things) and …

摘要本文对自然场景文本检测问题及其方法的研究进展进行了综述. 首先,
论述了自然场景文本的特点, 自然场景文本检测技术的研究背景, 现状以及主要技术路线. 其次 …

We describe S nooper T ext, an original detector for textual information embedded in photos
of building façades (such as names of stores, products and services) that we developed for …

A trustworthy protocol is essential to evaluate a text detection algorithm in order to, first
measure its efficiency and adjust its parameters and, second to compare its performances …

This paper presents a novel scene text detection method based on conditional random field
(CRF) framework. We estimate the confidence of Maximally Stable Extremal Region (MSER) …

In this paper, we propose a text detection algorithm which is hybrid and multi-scale. First, it
relies on a connected component-based approach: After the segmentation of the image, a …

Text detection is a primary task for text recognition and understanding, which can be used in
many image analysis techniques. In this paper, we propose an effective scene text detection …

Text information plays a significant role in many applications for providing more descriptive
and abstract information than other objects. In this paper, an approach based on the …

In recent years, natural scene text detection gains increasing attention because it plays an
important role in many computer related techniques. In this paper, we propose a text …