Title :
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
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;
Conference_Titel :
Document Analysis and Recognition (ICDAR), 2013 12th International Conference on
Conference_Location :
Washington, DC
DOI :
10.1109/ICDAR.2013.117
