Diem, M., Kleber, F., Fiel, S., Grüning, T., & Gatos, B. (2017). cBAD: ICDAR2017 Competition on Baseline Detection. In 2017 14th IAPR International Conference on Document Analysis and Recognition : ICDAR 2017. 2017 14th IAPR International Conference on Document Analysis and Recognition, Kyoto, Japan. https://doi.org/10.1109/ICDAR.2017.222
2017 14th IAPR International Conference on Document Analysis and Recognition
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Event date:
9-Nov-2017 - 15-Nov-2017
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Event place:
Kyoto, Japan
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Number of Pages:
6
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Keywords:
cBAD; baseline detection; text-line detection
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Abstract:
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.
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Additional information:
The final publication is available via <a href="https://doi.org/10.1109/ICDAR.2017.222" target="_blank">https://doi.org/10.1109/ICDAR.2017.222</a>.
