Literature DB >> 18262934

Morphological text extraction from images.

Y Y Hasan, L J Karam.   

Abstract

This paper presents a morphological technique for text extraction from images. The proposed morphological technique is insensitive to noise, skew and text orientation. It is also free from artifacts that are usually introduced by both fixed/optimal global thresholding and fixed-size block-based local thresholding. Examples are presented to illustrate the performance of the proposed method.

Year:  2000        PMID: 18262934     DOI: 10.1109/83.877220

Source DB:  PubMed          Journal:  IEEE Trans Image Process        ISSN: 1057-7149            Impact factor:   10.856


  4 in total

1.  Text string detection from natural scenes by structure-based partition and grouping.

Authors:  Chucai Yi; YingLi Tian
Journal:  IEEE Trans Image Process       Date:  2011-03-14       Impact factor: 10.856

2.  A new pivoting and iterative text detection algorithm for biomedical images.

Authors:  Songhua Xu; Michael Krauthammer
Journal:  J Biomed Inform       Date:  2010-09-29       Impact factor: 6.317

3.  Rotation-invariant features for multi-oriented text detection in natural images.

Authors:  Cong Yao; Xin Zhang; Xiang Bai; Wenyu Liu; Yi Ma; Zhuowen Tu
Journal:  PLoS One       Date:  2013-08-05       Impact factor: 3.240

4.  The Construction of the Evaluation Index for the Outgoing Auditing of the Natural Resource Assets of Local Leading Cadres Based on the Analytic Hierarchy Process.

Authors:  Jiali Xuan
Journal:  Appl Bionics Biomech       Date:  2022-01-24       Impact factor: 1.781

  4 in total

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