cBAD: ICDAR2017 Competition on Baseline Detection

被引：44

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

页码：1355 / 1360

页数：6

共 8 条

[1] ICDAR 2015 Competition on Text Line Detection in Historical Documents
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Reese, Jackson
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[2] Baseline Detection and Localization for Invisible Omnidirectional Cameras
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[3] Baseline detection and localization for invisible omnidirectional cameras
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[5] Baseline Detection for On-line Cursive Thai Handwriting Recognition Based on PCA
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[6] GLoBD: Geometric and Learned Logic Algorithm for Straight or Curved Handwriting Baseline Detection
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[8] A Text-Line Segmentation Method for Historical Tibetan Documents Based on Baseline Detection
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Duan, Lijuan
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COMPUTER VISION, PT I, 2017, 771 : 356 - 367

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