ICDAR2017 Competition on Historical Document Writer Identification (Historical-WI)

Fiel, Stefan; Kleber, Florian; Diem, Markus; Christlein, Vincent; Louloudis, Georgios; Stamatopoulos, Nikolaos; Gatos, Basilis

doi:10.1109/ICDAR.2017.225

Record link:

https://resolver.obvsg.at/urn:nbn:at:at-ubtuw:3-3375
http://hdl.handle.net/20.500.12708/883

Title:

ICDAR2017 Competition on Historical Document Writer Identification (Historical-WI)

Citation:

Fiel, S., Kleber, F., Diem, M., Christlein, V., Louloudis, G., Stamatopoulos, N., & Gatos, B. (2017). ICDAR2017 Competition on Historical Document Writer Identification (Historical-WI). In 2017 14th IAPR International Conference on Document Analysis and Recognition : ICDAR 2017. 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), Kyoto, Japan. Kyoto Japan. https://doi.org/10.1109/ICDAR.2017.225

CatalogPlus:

AC11365320

Publisher DOI:

10.1109/ICDAR.2017.225

Publication Type:

Inproceedings - Full-Paper Contribution

Language:

English

Authors:

Fiel, Stefan
Kleber, Florian
Diem, Markus
Christlein, Vincent
Louloudis, Georgios
Stamatopoulos, Nikolaos
Gatos, Basilis

Organisational Unit:

E193 - Institut für Rechnergestützte Automation

Published in:

2017 14th IAPR International Conference on Document Analysis and Recognition : ICDAR 2017

ISBN:

9781538635865

DOI of the book:

10.1109/ICDAR43114.2017

Date (published):

2017

Event name:

2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR)

Event date:

9-Nov-2017 - 15-Nov-2017

Event place:

Kyoto, Japan

Number of Pages:

Publisher:

Kyoto Japan

Keywords:

Schreiberidentifizierung

Writer Identification; Competition; Dataset; Compter vision

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The ICDAR 2017 Competition on Historical Document Writer Identification is dedicated to record the most recent advances made in the field of writer identification.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 pages originating from 13th to 20th century. It contains manuscripts from 720 different writers where each writer contributed five pages. This paper describes the dataset, as well as the details of the 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.

Additional information:

The final publication is available via <a href="https://doi.org/10.1109/ICDAR.2017.225" target="_blank">https://doi.org/10.1109/ICDAR.2017.225</a>.

License:

In Copyright

Appears in Collections:

Conference Paper