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Text extraction using edge detection and morphological dilation

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

Abstract

In this paper, a method used to extract text regions from document images is proposed. It first finds edges by computing the gradient of each location. Then long edges, such as lines and isolated edges which are often due to noise, are removed. Finally, this edge map is morphologically dilated. Experimentally, the proposed method is robust to noise, skew and text orientation.

Original languageEnglish
Title of host publication2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004
Pages330-333
Number of pages4
Publication statusPublished - 2004
Event2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004 - Hong Kong, China, Hong Kong
Duration: 20 Oct 2004 → 22 Oct 2004

Publication series

Name2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004

Conference

Conference2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004
Country/TerritoryHong Kong
CityHong Kong, China
Period20/10/04 → 22/10/04

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