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Leon Todorana Marco Aielloa,b Christof Monzb
Marcel Worringa
aIntelligent Sensory Information Systems, Univ. of Amsterdam, The Netherlands
bInstitute for Logic, Language and Computation, Univ. of Amsterdam, The Netherlands
ABSTRACT
We present a fully implemented system based on generic document knowledge for detecting the logical structure of documents
for which only general layout information is assumed. In particular, we focus on detecting the reading order. Our system inte-
grates components based on computer vision, artificial intelligence, and natural language processing techniques. The prominent
feature of our framework is its ability to handle documents from heterogeneous collections. The system has been evaluated on
a standard collection of documents to measure the quality of the reading order detection. Experimental results for each compo-
nent and the system as a whole are presented and discussed in detail. The performance of the system is promising, especially
when considering the diversity of the document collection.
Keywords: Document Analysis, Logical Structure Detection, Reading Order Detection, Natural Language Processing, Spatial
Reasoning.
1. INTRODUCTION
The goal of document analysis is to automatically process scanned documents and convert them into a digital format, which
can for example be further processed for reproduction, digital libraries, information retrieval, and text-to-speech purposes. This
process mainly consists of two steps: layout analysis and document understanding. During the layout analysis the constituents

  

Source: Aiello, Marco - Institute for Mathematics and Computing Science, Rijksuniversiteit Groningen
Monz, Christof - Research Institute Computer Science, Universiteit van Amsterdam

 

Collections: Computer Technologies and Information Sciences