DocumentCode
3490488
Title
ICDAR 2013 Competition on Historical Book Recognition (HBR 2013)
Author
Antonacopoulos, A. ; Clausner, C. ; Papadopoulos, Christos ; Pletschacher, S.
Author_Institution
Pattern Recognition & Image Anal. (PRImA) Res. Lab., Univ. of Salford, Salford, UK
fYear
2013
fDate
25-28 Aug. 2013
Firstpage
1459
Lastpage
1463
Abstract
This paper presents an objective comparative evaluation of layout analysis and recognition methods for scanned historical books. It describes the competition (modus operandi, dataset and evaluation methodology) held in the context of ICDAR2013 and the 2nd International Workshop on Historical Document Imaging and Processing (HIP2013), presenting the results of the evaluation of five methods - three submitted and two state-of-the-art systems (one commercial and one open-source). Three scenarios are reported in this paper, one evaluating the ability of methods to accurately segment regions, one evaluating segmentation and region classification (with a text extraction goal) and the other the whole pipeline including recognition. The results indicate that there is a convergence to a certain methodology, in terms of layout analysis, with some variations in the approach. However, there is still a considerable need to develop robust methods that deal with the idiosyncrasies of historical books, especially for OCR.
Keywords
document image processing; feature extraction; history; image segmentation; optical character recognition; ICDAR2013 competition; OCR; historical book recognition; international conference on document analysis and recognition; layout analysis method; objective comparative evaluation; optical character recognition; recognition method; region classification; region segmentation; segmentation evaluation; text extraction goal; Image segmentation; Layout; Optical character recognition software; Particle separators; Performance evaluation; Text analysis; Video recording; OCR; datasets; historical documents; layout analysis; page segmentation; performance evaluation; recognition; region classification;
fLanguage
English
Publisher
ieee
Conference_Titel
Document Analysis and Recognition (ICDAR), 2013 12th International Conference on
Conference_Location
Washington, DC
ISSN
1520-5363
Type
conf
DOI
10.1109/ICDAR.2013.294
Filename
6628855
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