Morphological text extraction from images

被引：66

作者：

Hasan, YMY ^{[1
]}

Karam, LJ ^{[1
]}

机构：

[1] Arizona State Univ, Dept Elect Engn, Ctr Telecommun Res, Tempe, AZ 85287 USA

来源：

IEEE TRANSACTIONS ON IMAGE PROCESSING | 2000年 / 9卷 / 11期

关键词：

labeling; mathematical morphology;

D O I：

10.1109/83.877220

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：1978 / 1983

页数：6

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