Objectives Data extraction from original study reports is a time-consuming, error-prone
process in systematic review development. Information extraction (IE) systems have the …

Abstract OCR (Optical Character Recognition) for scanned paper invoices is very
challenging due to the variability of 19 invoice layouts, different information fields, large data …

In a time when unstructured data grows exponentially throughout the world, tools are
required to extract benefit from it. Tables are an important under-exploited part of that data …

Selecting the most suitable candidates for interviews is an important process for
organizations that can affect their overall work performance. Typically, recruiters check …

Is an algorithm with high precision and recall at identifying table-parts also good at locating
tables? Several document analysis tasks require merging or splitting certain document …

The goal of this research is to improve methods for extracting and interpreting tabular data
embedded in printed documents. In pursuing this goal, this dissertation makes two main …

Information representation as tables are compact and concise method that eases searching,
indexing, and storage requirements. Extracting and cloning tables from parsable documents …

We describe a system for indexing of census records in tabular documents with the goal of
recognizing the content of each cell, including both headers and handwritten entries. Each …

Tables in documents are a widely-available and rich source of information, but not yet well-
utilised computationally because of the difficulty in automatically extracting their structure …

Document image analysis involves the recognition and understanding of document images
using computer vision techniques. The research described in this thesis relates to the …