Text information in natural scene images serves as important clues for many image-based
applications such as scene understanding, content-based image retrieval, assistive …

In this paper, we propose a novel framework to extract text regions from scene images with
complex backgrounds and multiple text appearances. This framework consists of three main …

This paper presents a scene text extraction technique that automatically detects and
segments texts from scene images. Three text-specific features are designed over image …

State-of-the-art blind image deconvolution approaches have difficulties when dealing with
text images, since they rely on natural image statistics which do not respect the special …

Independent travel is a well-known challenge for blind and visually impaired persons. In this
paper, we propose a proof-of-concept computer vision-based wayfinding aid for blind …

Separation of text and non-text is an essential processing step for any document analysis
system. Therefore, it is important to have a clear understanding of the state-of-the-art of …

Image based text extraction is a popular and challenging research field in computer vision in
recent times. In this paper, an exigent aspect such as natural scene text identification and …

Texts in natural scenes carry critical semantic clues for understanding images. When
capturing natural scene images, especially by handheld cameras, a common artifact, ie …

Deblurring camera-based document image is an important task in digital document
processing, since it can improve both the accuracy of optical character recognition systems …

Owing to technological advancements and new inventions, the world is transforming into a
digital world where cameras have replaced the scanners for converting the hard copy …