ICDAR2013 Competition on Historical Newspaper Layout Analysis-HNLA2013

被引:30
作者
Antonacopoulos, A. [1 ]
Clausner, C. [1 ]
Papadopoulos, C. [1 ]
Pletschacher, S. [1 ]
机构
[1] Univ Salford, Sch Comp Sci & Engn, Pattern Recognit & Image Anal PRImA Res Lab, Manchester M5 4WT, England
来源
2013 12TH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION (ICDAR) | 2013年
关键词
layout analysis; performance evaluation; page segmentation; region classification; datasets; historical documents; newspapers;
D O I
10.1109/ICDAR.2013.293
中图分类号
TP18 [人工智能理论];
学科分类号
140502 [人工智能];
摘要
This paper presents an objective comparative evaluation of layout analysis methods for scanned historical newspapers. 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operandi, dataset and evaluation methodology) held in the context of ICDAR2013 and the 2nd International Workshop on Historical Document Imaging and Processing (HIP2013), presenting the results of the evaluation of five submitted methods. Two state-of-the-art systems, one commercial and one open-source, are also evaluated for comparison. Two scenarios are reported in this paper, one evaluating the ability of methods to accurately segment regions and the other evaluating the whole pipeline of segmentation and region classification (with a text extraction goal). The results indicate that there is a convergence to a certain methodology with some variations in the approach. However, there is still a considerable need to develop robust methods that deal with the idiosyncrasies of historical newspapers.
引用
收藏
页码:1454 / 1458
页数:5
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