This paper presents a robust text detection approach based on color-enhanced contrasting
extremal region (CER) and neural networks. Given a color natural scene image, six …

Characters, which are man-made symbols composed of strokes arranged in a certain
structure, could provide semantic information and play an indispensable role in our daily life …

Learning-based partial differential equations (PDEs), which combine fundamental
differential invariants into a non-linear regressor, have been successfully applied to several …

Multi-script identification helps in automatically selecting an appropriate OCR when video
has several scripts; however, script identification in video frames is challenging because low …

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 …

Effectively solving the problem of sketch generation, which aims to produce human-drawing-
like sketches from real photographs, opens the door for many vision applications such as …

Text detection in natural scene images is important and challenging work for image analysis.
In this paper, we present a robust system to detect natural scene text according to text region …

Shape restoration for characters in video is challenging because natural scene characters
usually suffer from low resolution, complex background and perspective distortion. In this …

The aim of text frame classification technique is to label a video frame as text or non-text
before text detection and recognition. It is an essential step prior to text detection because …

Text in a scene provides vital information of its contents. With the increasing popularity of
vision systems, detecting general text in images becomes a critical yet challenging task …