A Web Text Extraction Method Based on Regular Expressions and Text Density

2011 ◽  
Author(s):  
Fayun Li
Keyword(s):  
Extraction Method ◽  
Regular Expressions ◽  
Text Extraction ◽  
Text Density

Correction to “Inference of Regular Expressions for Text Extraction from Examples”

2016 ◽  
Vol 28 (7) ◽  
pp. 1944-1944
Author(s):  
Alberto Bartoli ◽  
Andrea De Lorenzo ◽  
Eric Medvet ◽  
Fabiano Tarlao
Keyword(s):  
Regular Expressions ◽  
Text Extraction

A Web Information Extraction Method Based on HTML Parser

2013 ◽  
Vol 774-776 ◽  
pp. 1802-1806
Author(s):  
Zhi Ming Zhang ◽  
Shuai Shuai Huang ◽  
Ping Li
Keyword(s):  
Information Extraction ◽  
Extraction Method ◽  
Rapid Development ◽  
Extraction Time ◽  
The Internet ◽  
Regular Expressions ◽  
Web Information Extraction ◽  
Amount Of Information ◽  
Web Information ◽  
Html Parser

With the rapid development of Internet, and surge in the amount of information on the Internet, how to accurately and quickly get the information of the users really need, such as the title, links, and pictures, is the hotspot. This paper proposed a fast web information extraction method based on html parser, this paper validated the effect of the proposed method by extracting commodities information of e-commerce website, the results show that the accuracy of the information extraction by our method is higher than the extraction method based on regular expressions, and the extraction time is greatly shortened.

A Novel Image Text Extraction Method Based on K-Means Clustering

2008 ◽  
Author(s):  
Yan Song ◽  
Anan Liu ◽  
Lin Pang ◽  
Shouxun Lin ◽  
Yongdong Zhang ◽  
...  
Keyword(s):  
Extraction Method ◽  
Text Extraction

A Novel Text Extraction Method from Pure Text Images Using Morphological Operations

2014 ◽  
Vol 989-994 ◽  
pp. 3768-3772
Author(s):  
Xuan Qi Chen ◽  
Biao He ◽  
Guo Cheng Wang ◽  
Yao Xin Li
Keyword(s):  
Mathematical Morphology ◽  
Extraction Method ◽  
New Method ◽  
Morphological Operations ◽  
Text Extraction ◽  
Text Images ◽  
Robust To Noise

This paper presents a new method to achieve effective text extraction using mathematical morphology. Firstly, the document is segmented and divided into several parts based on the layout. And then, every part is dilated to big connected regions, whose biggest skeleton will be extracted and serve as a structure element (SE). Finally, a proposed region-concatenated operation with the SE will be employed, whose result can be the input of subsequent OCR system. Experimentally, the proposed method is robust to noise, the text orientation, font style and size, language and layout.

A robust video text extraction method for character recognition

2005 ◽  
Vol 36 (9) ◽  
pp. 87-96 ◽  
Author(s):  
Osamu Hori ◽  
Takeshi Mita
Keyword(s):  
Character Recognition ◽  
Extraction Method ◽  
Text Extraction
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