Large-scale digitisation has led to a number of new possibilities with regard to adaptive and
learning based methods in the field of Document Image Analysis and OCR. For ground truth …

This paper presents an objective comparative evaluation of page segmentation and region
classification methods for documents with complex layouts. It describes the competition (…

This paper presents an objective comparative evaluation of layout analysis methods for
scanned historical documents. It describes the competition (modus operandi, dataset and …

The millions of pages of historical documents that are digitized in libraries are increasingly
used in contexts that have more specific requirements for OCR quality than keyword search. …

This paper presents a research dataset of historical newspapers comprising over 500 page
images, uniquely representative of European cultural heritage from the digitization projects …

This paper presents an objective comparative evaluation of page segmentation and region
classification methods for documents with complex layouts. It describes the competition (…

Representative and comprehensive datasets are a prerequisite for any research activity, from
studying specific types of problems through training of algorithms to evaluating results of …

This paper presents an advanced framework for evaluating the performance of layout analysis
methods. It combines efficiency and accuracy by using a special interval based geometric …

This paper presents an objective comparative evaluation of layout analysis methods for
scanned historical newspapers. It describes the competition (modus operandi, dataset and …

We present an efficient and effective approach to train OCR engines using the Aletheia
document analysis system. All components required for training are seamlessly integrated into …