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 …

Text detection in the real world images captured in unconstrained environment is an
important yet challenging computer vision problem due to a great variety of appearances …

Abstract Maximally Stable Extremal Regions (MSERs) have achieved great success in
scene text detection. However, this low-level pixel operation inherently limits its capability for …

Detecting text in natural images is an important prerequisite. In this paper, we propose a
novel text detection algorithm, which employs edge-enhanced Maximally Stable Extremal …

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 …

We discuss the use of histogram of oriented gradients (HOG) descriptors as an effective tool
for text description and recognition. Specifically, we propose a HOG-based texture descriptor …

We present a hybrid algorithm for detection and tracking of text in natural scenes that goes
beyond the full-detection approaches in terms of time performance optimization. A state-of …

License plate detection is a challenging task when dealing with open environments and
images captured from a certain distance by low-cost cameras. In this paper, we propose an …

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 …

In this work we introduced SnooperTrack, an algorithm for the automatic detection and
tracking of text objects-such as store names, traffic signs, license plates, and advertisements …