A detection method for mathematical expressions in scientific document images is proposed.
Inspired by the promising performance of U-Net, a convolutional network architecture …

The detection of mathematical expressions is a prerequisite step for the digitisation of
scientific documents. Many different multistage approaches have been proposed for the …

This paper presents mathematical formula detection in heterogeneous document images
that may contain figures, tables, text, and math formulas. We adopt the method originally …

This Open-Access-book addresses the issue of translating mathematical expressions from
LaTeX to the syntax of Computer Algebra Systems (CAS). Over the past decades, especially …

Extracting and recognizing mathematical expressions of scientific documents are key steps
in the process of mathematical retrieval system, where the documents contain different …

Detecting equation regions from scanned books has received attention in the document
image research community in the past few years. Compared with regular text blocks …

In this paper, we study the problem of math formula recognition (MFR) in degraded Chinese
document images. Compared to traditional optical character recognition (OCR), the MFR …

Document recognition and retrieval technologies complement one another, providing
improved access to increasingly large document collections. While recognition and retrieval …

This paper describes the installation of a mathematical formula recognition module into an
open source OCR system: OCRopus. In particular we consider the identification of inline …

Various document layout analysis techniques are employed in order to enhance the
accuracy of optical character recognition (OCR) in document images. Type-specific …