KAFD: Arabic Font Database

<h3>Introduction</h3><br>
<p>KAFD: Arabic Font Database was developed by <a href="http://www.kfupm.edu.sa/default.aspx">King Fahd University of Petroleum &amp; Minerals</a> and <a href="http://www.qu.edu.sa/en/Pages/Home.aspx">Qassim University</a>. It is comprised of approximately 2.5 million scanned Arabic printed pages in a variety of fonts, sizes and resolutions along with corresponding transcripts. KAFD was designed for research in Arabic text recognition.</p><br>
<h3>Data</h3><br>
<p>The scanned Arabic texts were collected from publications covering various subjects such as religion, medicine, science and history. Texts were printed in 40 different fonts, 10 sizes and four styles. Scans were made at 100, 200, 300 and 600 dpi (dots per inch).</p><br>
<p>The database is available in two formats: at the page level and at the line level. Images are presented as TIFF images and transcripts are in plain text format. Individual font folders are compressed into RAR archives.</p><br>
<p>The data is divided into training, validation and test sets.</p><br>
<h3>Samples</h3><br>
<p>Please view this <a href="desc/addenda/LDC2016T21.tif">image sample</a>&nbsp;and <a href="desc/addenda/LDC2016T21.txt">text sample</a>.</p><br>
<h3>Updates</h3><br>
<p>None at this time.</p></br>
Portions © 2016 King Fahd University of Petroleum & Minerals, Trustees of the University of Pennsylvania

搜集汇总

背景与挑战

背景概述

KAFD: Arabic Font Database是一个包含约250万页阿拉伯语印刷页面扫描图像的数据集，涵盖多种字体、大小和分辨率，旨在支持阿拉伯语文本识别研究。数据集提供图像和文本转录，分为训练、验证和测试集，适用于手写识别等应用场景。