Database for Arabic Printed Text Recognition Research

被引：0
|
作者：
Jaiem, Faten Kallel [1 ]
Kanoun, Slim [1 ]
Khemakhem, Maher [1 ]
El Abed, Haikal [3 ]
Kardoun, Jihain [2 ]
机构：
[1] Univ Sfax, ISIMS, MIRACL Lab, Sfax, Tunisia
[2] Univ Sfax, ENIS, Dept Comp Engn, Sfax, Tunisia
[3] Tech Univ Carolo Wilhelmina Braunschweig, Inst Commun Technol, Braunschweig, Germany
来源：
IMAGE ANALYSIS AND PROCESSING (ICIAP 2013), PT 1 | 2013年 / 8156卷
关键词：
Arabic printed text; APTID / MF database; Open vocabulary; Ground truth; PATTERN-RECOGNITION;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a real database for the Arabic printed text recognition, APTID / MF (Arabic Printed Text Image Database / Multi-Font). This database can be used to evaluate the system that recognizes Arabic printed texts with an open vocabulary. APTID / MF may be also used for research in word segmentation and font identification. APTID / MF is obtained from 387 pages of Arabic printed documents scanned with grayscale format and 300 dpi resolutions. From this documents, 1,845 text-blocks have been extracted. In addition ground truth file is provided for each texts-block. APTID / MF also includes an Arabic printed character image dataset made up of 27,402 samples. The database is freely available to interested researchers.
引用
收藏
页码：251 / 259
页数：9
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