cBAD: ICDAR2017 Competition on Baseline Detection

被引:49
作者
Diem, Markus [1 ]
Kleber, Florian [1 ]
Fiel, Stefan [1 ]
Gatos, Basilis [2 ]
Gruening, Tobias [3 ]
机构
[1] TU Wien, Comp Vis Lab, A-1040 Vienna, Austria
[2] Natl Ctr Sci Res Demokritos, Computat Intelligence Lab, Aghia Paraskevi, Greece
[3] Univ Rostock, Computat Intelligence Technol Lab, D-18057 Rostock, Germany
来源
2017 14TH IAPR INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION (ICDAR), VOL 1 | 2017年
关键词
cBAD; baseline detection; text-line detection;
D O I
10.1109/ICDAR.2017.222
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The cBAD competition aims at benchmarking state-of-the-art baseline detection algorithms. It is in line with previous competitions such as the ICDAR 2013 Handwriting Segmentation Contest. A new, challenging, dataset was created to test the behavior of state-of-the-art systems on real world data. Since traditional evaluation schemes are not applicable to the size and modality of this dataset, we present a new one that introduces baselines to measure performance. We received submissions from five different teams for both tracks.
引用
收藏
页码:1355 / 1360
页数:6
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