A hidden Markov model-based character extraction method

被引：16

作者：

Huang, Songtao ^{[1
]}

Ahmadi, Majid ^{[1
]}

Sid-Ahmed, M. A. ^{[1
]}

机构：

[1] Univ Windsor, Windsor, ON N9B 3P4, Canada

来源：

PATTERN RECOGNITION | 2008年 / 41卷 / 09期

关键词：

binarization; thresholding; HMM; OCR; stroke;

D O I：

10.1016/j.patcog.2008.03.004

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper a hidden Markov model (HMM)-based binarization algorithm is presented. This algorithm performs well for images with nonuniform background. To test the usefullness of the proposed technique some images of composite documents of printed characters were used. These characters were extracted through the proposed binarization algorithms and used in a commercial OCR. A comparative study of various binarization techniques is also presented. Crown Copyright (c) 2008 Published by Elsevier Ltd. All rights reserved.

引用

页码：2890 / 2900

页数：11

共 71 条

[1]

[Anonymous], EUSIPCO 94

[2]

Baum L.E., 1972, Inequalities III: Proceedings of the Third Symposium on Inequalities, page, V3, P1

[3] STATISTICAL INFERENCE FOR PROBABILISTIC FUNCTIONS OF FINITE STATE MARKOV CHAINS [J].