Unified layout analysis and text localization framework

被引：4
|
作者：
Vasilopoulos, Nikos [1 ]
Kavallieratou, Ergina [1 ]
机构：
[1] Univ Aegean, Dept Informat & Commun Syst Engn, Samos, Greece
来源：
JOURNAL OF ELECTRONIC IMAGING | 2017年 / 26卷 / 01期
关键词：
document images; page layout analysis; text localization; PAGE SEGMENTATION; IMAGES; COMPETITION; EXTRACTION; IDENTIFICATION; RECOGNITION; CHARACTERS; ALGORITHM;
D O I：
10.1117/1.JEI.26.1.013009
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A technique appropriate for extracting textual information from documents with complex layouts, such as newspapers and journals, is presented. It is a combination of a foreground analysis and a text localization method. The first one is used to segment the page in text and nontext blocks, whereas the second one is used to detect text that may be embedded inside images, charts, diagrams, tables, etc. Detailed experiments on two public databases showed that mixing layout analysis and text localization techniques can lead to improved page segmentation and text extraction results. (C) 2017 SPIE and IS&T
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页数：11
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