Paper Info
Title
ICDAR2015 competition on recognition of documents with complex layouts - RDCL2015
Abstract
This paper presents an objective comparative evaluation of page segmentation and region classification methods for documents with complex layouts. It describes the competition (modus operandi, dataset and evaluation methodology) held in the context of ICDAR2015, presenting the results of the evaluation of eight methods - four submitted, two state-of-the-art systems (one commercial and one open-source) and their two immediately previous versions. Three scenarios are reported in this paper, one evaluating the ability of methods to accurately segment regions and two evaluating both segmentation and region classification (one with emphasis on text and the other focusing only on text). The results indicate that an innovative approach has a clear advantage but there is still a considerable need to develop robust methods that deal with layout challenges, especially with the non-text content.
Year
DOI
Venue
2015
10.1109/ICDAR.2015.7333941
International Conference on Document Analysis and Recognition
Field
DocType
Citations 
Computer vision,Pattern recognition,Segmentation,Computer science,Artificial intelligence,Optical character recognition software
Conference
10
PageRank 
References 
Authors
0.55
15
4
Name
Order
Citations
PageRank
Apostolos Antonacopoulos137836.45
Christian Clausner2448.49
Christos Papadopoulos3584.06
stefan pletschacher421620.78