caa a22 4500 445379502 CHVBK 20180317143013.0 cr unu---uuuuu 170323e20110301xx s 000 0 eng 10.1007/s10032-010-0122-8 doi (NATIONALLICENCE)springer-10.1007/s10032-010-0122-8 ICDAR2009 handwriting segmentation contest [Elektronische Daten] [B. Gatos, N. Stamatopoulos, G. Louloudis] ICDAR 2009 Handwriting Segmentation Contest was organized in the context of ICDAR2009 conference in order to record recent advances in off-line handwriting segmentation. The contest includes handwritten document images produced by many writers in several languages (English, French, German and Greek). These images are manually annotated in order to produce the ground truth which corresponds to the correct text line and word segmentation result. For the evaluation, a well-established approach is used based on counting the number of matches between the entities detected by the segmentation algorithm and the entities in the ground truth. This paper describes the contest details including the dataset, the ground truth and the evaluation criteria and presents the results of the 12 participating methods as well as of two state-of-the-art algorithms. A description of the winning algorithms is also given. Springer-Verlag, 2010 Handwritten text line segmentation nationallicence Handwritten word segmentation nationallicence Document image processing evaluation nationallicence Gatos B. Computational Intelligence Laboratory, Institute of Informatics and Telecommunications, National Center for Scientific Research "Demokritos”, GR-153 10 Agia Paraskevi, Athens, Greece aut Stamatopoulos N. Computational Intelligence Laboratory, Institute of Informatics and Telecommunications, National Center for Scientific Research "Demokritos”, GR-153 10 Agia Paraskevi, Athens, Greece aut Louloudis G. Computational Intelligence Laboratory, Institute of Informatics and Telecommunications, National Center for Scientific Research "Demokritos”, GR-153 10 Agia Paraskevi, Athens, Greece aut International Journal on Document Analysis and Recognition (IJDAR) Springer-Verlag 14/1(2011-03-01), 25-33 1433-2833 14:1<25 2011 14 10032 https://doi.org/10.1007/s10032-010-0122-8 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10032-010-0122-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Gatos B. Computational Intelligence Laboratory, Institute of Informatics and Telecommunications, National Center for Scientific Research "Demokritos”, GR-153 10 Agia Paraskevi, Athens, Greece aut NATIONALLICENCE 700 1- Stamatopoulos N. Computational Intelligence Laboratory, Institute of Informatics and Telecommunications, National Center for Scientific Research "Demokritos”, GR-153 10 Agia Paraskevi, Athens, Greece aut NATIONALLICENCE 700 1- Louloudis G. Computational Intelligence Laboratory, Institute of Informatics and Telecommunications, National Center for Scientific Research "Demokritos”, GR-153 10 Agia Paraskevi, Athens, Greece aut NATIONALLICENCE 773 0- International Journal on Document Analysis and Recognition (IJDAR) Springer-Verlag 14/1(2011-03-01), 25-33 1433-2833 14:1<25 2011 14 10032 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer