CVL-DataBase: An Off-Line Database for Writer Retrieval, Writer Identification and Word Spotting

Author

Kleber, Florian ; Fiel, Stefan ; Diem, Markus ; Sablatnig, Robert

Author_Institution

Comput. Vision Lab., Vienna Univ. of Technol., Vienna, Austria

fYear

2013

fDate

25-28 Aug. 2013

Firstpage

560

Lastpage

564

Abstract

In this paper a public database for writer retrieval, writer identification and word spotting is presented. The CVL-Database consists of 7 different handwritten texts (1 German and 6 English Texts) and 311 different writers. For each text an RGB color image (300 dpi) comprising the handwritten text and the printed text sample are available as well as a cropped version (only handwritten). A unique ID identifies the writer, whereas the bounding boxes for each single word are stored in an XML file. An evaluation of the best algorithms of the ICDAR and ICHFR writer identification contest has been performed on the CVL-database.

Keywords

XML; handwritten character recognition; image colour analysis; image retrieval; text analysis; text detection; visual databases; word processing; CVL-database; English texts; German texts; ICDAR writer identification contest; ICHFR writer identification contest; RGB color image; XML file; handwritten text image; off-line database; printed text sample; public database; word spotting; writer retrieval; Databases; Educational institutions; Handwriting recognition; Labeling; Text analysis; XML; Off-line Database; Writer Identification; Writer Retrieval;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition (ICDAR), 2013 12th International Conference on

Conference_Location

Washington, DC

ISSN

1520-5363

Type

conf

DOI

10.1109/ICDAR.2013.117

Filename

6628682