In recent years, the problem of scene text extraction from images has received extensive
attention and significant progress. However, text extraction from scholarly figures such as …

Text extraction from scientific figures has been addressed in the past by different
unsupervised approaches due to the limited amount of training data. Motivated by the recent …

Different approaches have been proposed in the past to address the challenge of extracting
text from scholarly figures. However, until recently, no comparative evaluation of the different …

Text contained within figures is an important source of information in biomedical literature.
Despite this, end-to-end text extraction from biomedical figures remains a challenging task …

Recently, a lot of effort has been put into developing text detection methods on natural scene
images in academic research and industry. In general, text detection refers to localizing all …

Text detection and segmentation in natural scene images is an active research problem in
computer vision and document analysis. Unlike scanned documents, scene text exhibits …

In recent times, text detection in the wild has significantly raised its ability due to tremendous
success of deep learning models. Applications of computer vision have emerged and got …

A growing demand for natural-scene text detection has been witnessed by the computer
vision community since text information plays a significant role in scene understanding and …

Text detection in natural images is a challenging but necessary task for many applications.
Existing approaches utilize large deep convolutional neural networks making it difficult to …

Scene text analysis is a field of research that poses challenges to researchers owing to the
background complexities, image quality, text orientation, text size, etc. The problem gets …