This paper presents a novel scene text detection algorithm, Canny Text Detector, which
takes advantage of the similarity between image edge and text for effective text localization …

Localizing text in the wild is challenging in the situations of complicated geometric layout of
the targets like random orientation and large aspect ratio. In this paper, we propose a …

Arbitrary shape text detection is a challenging task due to the significantly varied sizes and
aspect ratios, arbitrary orientations or shapes, inaccurate annotations, etc. Due to the …

We introduce a new arbitrary-shaped text detection approach named ReLaText by
formulating text detection as a visual relationship detection problem. To demonstrate the …

This work is devoted to an identity document recognition system design for use in mobile
phones and tablets using the computational capabilities of the device itself. Key differences …

In this paper, we propose a novel text-based traffic sign detection framework with two deep
learning components. More precisely, we apply a fully convolutional network to segment …

Automatic text detection and recognition (end-to-end text recognition) in real-life images are
the main elements of many applications including blind and low vision assistance systems …

Text in natural scene images plays a vital role in scene understanding. It contains a rich and
abundant amount of valuable semantic information useful in many applications such as …

Text in natural images typically adds meaning to an object or scene. In particular, text
specifies which business places serve drinks (eg, cafe, teahouse) or food (eg, restaurant …

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 …