DOCENG

Document capture applications on smartphones have emerged as popular tools for digitizing documents. For many individuals, capturing documents with their smartphones is more convenient than using dedicated photocopiers or scanners, even if the quality of ...

Defining the correct image resolution is a fundamental issue to preserve all the information in a document, keeping the minimum image acquisition and processing times, as well as the storage space and computer bandwidth for network transmission, allowing ...

In the era of mobile imaging, the quality of document photos captured by smartphones often suffers due to adverse lighting conditions. Traditional document analysis and optical character recognition systems encounter difficulties with images that have ...

Image binarization, the conversion of a color image into its monochromatic version, plays a key role in many document processing pipelines. The technical literature presents over a hundred different algorithms for document image binarization yielding ...

Mathematical expressions (MEs) are the most crucial technical content in scientific documents, yet their presentations are not easy to describe. However, LaTeX, one of the primary markup languages in mathematics, enables MEs to be easily understood by ...

Graph databases are used across several domains due to the intuitive structure of graphs. They are well-suited for storing document collections together with their interlinkages through metadata and annotations. Yet, querying such graphs requires ...

In the realm of document engineering and Natural Language Processing (NLP), the integration of digitally born catalogs into product design processes presents a novel avenue for enhancing information extraction and interoperability. This paper introduces ...

Topic modeling is a technique for organizing and extracting themes from large collections of unstructured text. Non-negative matrix factorization (NMF) is a common unsupervised approach that decomposes a term frequency-inverse document frequency (TF-IDF) ...

The digitization of historical documents faces challenges with the accuracy of Optical Character Recognition (OCR). Noting the success of large language models (LLMs) on many text-based tasks, this paper explores the potential of OpenAI's GPT models (3.5-...

Existing tools to detect text generated by a large language model (LLM) have met with certain success, but their performance can drop when dealing with texts in new domains. To tackle this issue, we train a ranking classifier called RoBERTa-Ranker, a ...

Many document processing platforms have image binarization as a key step. The performance of binarization algorithms depends on several factors that span from the quality of the digitalization devices to the intrinsic features of the document itself and ...

Automatic Text Summarization (ATS) is a research area that originated in the late 1950s and has gained increasing importance with the surge of text data available today. ATS approaches are generally classified into extractive and abstractive methods. ...

Automatic Text Summarization (ATS) is a research area that originated in the late 1950s and has gained increasing importance with the surging amount of text data available today. One of the key challenges in this area is how to quantitatively assess the ...

The growing use of PDFs has made them a prime target for malware attacks. Machine learning-based approaches for detecting PDF malware are increasingly popular due to their high accuracy and efficiency. However, the effectiveness of these systems largely ...

In this application note we outline the goals of the "LATEX Tagged PDF" project, describe its current status, show how it can already now been used to create accessible and reusable PDFs, and outline our future plans for a successful completion. Further ...

Sparse retrieval methods like BM25 are based on lexical overlap, focusing on the surface form of the terms that appear in the query and the document. The use of inverted indices in these methods leads to high retrieval efficiency. On the other hand, ...

In high quality typography, consecutive lines beginning or ending with the same word or sequence of characters is considered a defect. We have implemented an extension to TEX'S paragraph justification algorithm which handles this problem. Experimentation ...