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operandi, dataset and evaluation methodology) held in the context of ICDAR2013 and the 2nd International Workshop on Historical Document Imaging and Processing (HIP2013), presenting the results of the evaluation of five methods - three submitted and two state-of-the-art systems (one commercial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recognition software; Particle separators; Performance evaluation; Text analysis; Video recording; OCR; datasets; historical documents; layout analysis; page segmentation; performance evaluation; recognition; region classification;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
Link To Document :
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