We propose a novel system for the automatic detection and recognition of text in traffic signs.
Scene structure is used to define search regions within the image, in which traffic sign …

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 …

Street sign identification is an important problem in applications such as autonomous
vehicle navigation and aids for individuals with vision impairments. It can be especially …

Traffic signs have great importance regarding smooth traffic flow and safe driving. However,
due to many distractions and capricious factors, spotting and perceiving them may become …

While driving one passes so many text based-traffic signs that sometimes even important
information such as speed limits or no overtaking traffic signs can get lost. The driver can …

In this work we adopt a novel approach for the detection of rectangular directional road signs
in single frames captured from a moving car. These signs exhibit wide variations in sizes …

Recently, traffic panel detection has attracted both academic and industrial attention.
However, there are a few works that studied text based traffic panels. This is because there …

Text recognition has revolutionized the world of image processing and intelligent
transportation system (ITS). It opened several possibilities to traditional ITS concept …

The latest inventory systems for traffic signs are based on image processing which
implement complex algorithms to detect and recognize the traffic signs. These algorithms …

This paper presents a new algorithm for the detection and classification of real-time road
traffic signs in the video. Our system is able to detect and classify triangular, circular, and …