ICDAR 2017 Competition on Historical Document Writer Identification (Historical-WI)
Fiel S, Kleber F, Diem M, Christlein V, Louloudis G, Stamatopoulos N, Gatos B (2017)
Publication Type: Conference contribution
Publication year: 2017
Book Volume: 1
Pages Range: 1377-1382
Conference Proceedings Title: 14th IAPR International Conference on Document Analysis and Recognition (ICDAR)
Event location: Kyoto, Japan
URI: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Fiel17-I2C.pdf
Abstract
The ICDAR 2017 Competition on Historical Document Writer Identification is dedicated to record the most recent advances made in the field of writer identification. The goal of the writer identification task is the retrieval of pages,which have been written by the same author. The test dataset used in this competition consists of 3600 handwritten pagesoriginating from 13th to 20th century. It contains manuscripts from 720 different writers where each writer contributed fivepages. This paper describes the dataset, as well as the details ofthe competition. Five different institutions submitted six methods which were ranked using identification and retrieval metrics. The paper describes the competition details including the dataset, the evaluation measures used as well as a short description of each submitted method.
Authors with CRIS profile
Involved external institutions
National Centre for Scientific Research (NCSR) "Demokritos"
Greece (GR)
Technische Universität Wien / Vienna University of Technology
Austria (AT)
Greece (GR)
Technische Universität Wien / Vienna University of Technology
Austria (AT)
How to cite
APA:
Fiel, S., Kleber, F., Diem, M., Christlein, V., Louloudis, G., Stamatopoulos, N., & Gatos, B. (2017). ICDAR 2017 Competition on Historical Document Writer Identification (Historical-WI). In 14th IAPR International Conference on Document Analysis and Recognition (ICDAR) (pp. 1377-1382). Kyoto, Japan, JP.
MLA:
Fiel, Stefan, et al. "ICDAR 2017 Competition on Historical Document Writer Identification (Historical-WI)." Proceedings of the 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), Kyoto, Japan 2017. 1377-1382.
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