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

被引：163

作者：

Kleber, Florian ^{[1
]}

Fiel, Stefan ^{[1
]}

Diem, Markus ^{[1
]}

Sablatnig, Robert ^{[1
]}

机构：

[1] Vienna Univ Technol, Inst Comp Aided Automat, Comp Vis Lab, A-1040 Vienna, Austria

来源：

2013 12TH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION (ICDAR) | 2013年

关键词：

RECOGNITION;

D O I：

10.1109/ICDAR.2013.117

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：560 / 564

页数：5

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