Morphological text extraction from images

Yassin M Y Hasan; Lina Karam

doi:10.1109/83.877220

Morphological text extraction from images

Yassin M Y Hasan, Lina Karam

Electrical Engineering

Research output: Contribution to journal › Article › peer-review

102 Scopus citations

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.

Original language	English (US)
Pages (from-to)	1978-1983
Number of pages	6
Journal	IEEE Transactions on Image Processing
Volume	9
Issue number	11
DOIs	https://doi.org/10.1109/83.877220
State	Published - Nov 2000

ASJC Scopus subject areas

Software
Computer Graphics and Computer-Aided Design

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10.1109/83.877220

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title = "Morphological text extraction from images",

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.",

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AB - 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.

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JO - IEEE Transactions on Image Processing

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Morphological text extraction from images

Abstract

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