Automatic Text Extraction from Arabic Newspapers

被引：2
|
作者：
Vasilopoulos, Nikos [1 ]
Wasfi, Yazan [2 ]
Kavallieratou, Ergina [1 ]
机构：
[1] Univ Aegean, Karlovassi 83200, Samos, Greece
[2] Media Observer, Caracas Complex,Yajouz St 8, Amman, Jordan
来源：
IMAGE ANALYSIS AND RECOGNITION (ICIAR 2018) | 2018年 / 10882卷
关键词：
Layout analysis; Page segmentation; Text localization; Text extraction;
D O I：
10.1007/978-3-319-93000-8_57
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
A system for extracting the textual information from document images with complex layouts is presented. It is based on both layout analysis and text localization techniques. Layout analysis is first applied to segment the page in text and non-text blocks and then text localization is used to detect text that may be embedded inside images, charts, diagrams, tables etc. Detailed experiments on scanned Arabic newspapers showed that combining layout analysis and text localization methods can lead to improved page segmentation and text extraction results.
引用
收藏
页码：505 / 510
页数：6
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