ICDAR 2017 Competition on Baseline Detection (cBAD)

Baseline detection is an open research topic in document analysis and is a preprocessing step for e.g. Handwritten Text Recognition (HTR). The aim of this competition is to evaluate the performance of methods for detecting baselines in archival document images. Two newly created, freely available, real world datasets are the basis for the competition. There will be two tracks of participation. The first track deals with the basic baseline detection of handwritten texts in paragraph form. In total 750 pages of handwritten archival documents (no tables or marginalia) with manually annotated baselines and text regions (paragraphs) are prepared. The second track consists of more challenging data including tables, marginalia, and noisy document images. Textlines can be skewed up to 180°. About 1200 pages of archival documents (handwritten and printed documents) have been manually annotated. For both tracks, the images are provided from 9 different archives and document collections. read more...

Submission deadline extended - it is open until 08th July 2017 (23:59 AOE). This is the final extension...

There is an ongoing ICDAR 2019 competition on BAseline Detection


14th June 2017

Submission deadline extended

24th May 2017

Training sets updated

There is a second competition on baseline detection

01st Mar. 2017

Datasets are online

17st Jan. 2017

Competition site is online

Important Dates

Registration Deadline

18th June 2017

Submission Deadline

07th July 2017

ICDAR 2017

10th-15th Nov. 2017


Markus Diem

[TU Wien, Computer Vision Lab] 

Markus Diem is a senior scientist at the Computer Vision Lab, TU Wien, Austria. His research interests are Cultural Heritage Applications and Document Analysis.

Florian Kleber

[TU Wien, Computer Vision Lab] 

Florian Kleber is currently a senior scientist at the Computer Vision Lab, Institute for Computer Aided Automation, TU Wien, Austria. His research interests are Cultural Heritage Applications and Document Analysis Applications.

Stefan Fiel

[TU Wien, Computer Vision Lab] 

Stefan Fiel works as research assistant at the Computer Vision Lab, TU Wien.

Basilis Gatos

[NCSR Demokritos / IIT / CIL] 

Researcher at the Institute of Informatics and Telecommunications of the National Center for Scientific Research "Demokritos", Athens, Greece.