Application of improved DTLT in color passenger tickets codes segmentation

GUO Wen1; QIAO Yi-zheng2

doi:10.13873/j.1000-97872009.05.016

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Application of improved DTLT in color passenger tickets codes segmentation

更新时间：2025-09-11

- Application of improved DTLT in color passenger tickets codes segmentation
- Vol. 28, Issue 5, Pages: 109-111(2009)
- 作者机构：
  
  1. 山东工商学院信息与电子工程学院
  2. 山东大学控制科学与工程学院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872009.05.016
  CLC： TP391.41
- Published：2009
- 稿件说明：
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[1]郭文,乔谊正.改进的DKLT在彩色客票票号分割中的应用[J].传感器与微系统,2009,28(05):109-111.

GUO Wen1, QIAO Yi-zheng2. Application of improved DTLT in color passenger tickets codes segmentation[J]. 2009, 28(5): 109-111.
[1]郭文,乔谊正.改进的DKLT在彩色客票票号分割中的应用[J].传感器与微系统,2009,28(05):109-111. DOI： 10.13873/j.1000-97872009.05.016.

GUO Wen1, QIAO Yi-zheng2. Application of improved DTLT in color passenger tickets codes segmentation[J]. 2009, 28(5): 109-111. DOI： 10.13873/j.1000-97872009.05.016.

摘要

针对铁路客票自动识别研究中票号与背景难以分离的票号分割问题

提出一种基于改进的离散KL变换（DKLT）的彩色铁路客票票号分割方法。首先

将彩色客票图像进行DKLT

然后

选择主要的特征信息进行图像重构

并采用三维空间直方图来检验处理后票号在图像中的聚类效果来滤除背景

最后

辅助以合适的形态学运算进行票号的有效分割

为铁路客票的识别提供条件

实验结果表明了该方法在铁路客票票号分割应用上的可行性。

Abstract

Aimed at the problem of railway passenger tickets automation recognition

the codes segmentation method based on discrete Karhunen-Loeve transform（DKLT）algorithm is presented.Firstly

the railway passenger tickets color image is implemented DKLT.Then the corrected character information is selected in the reconstruction to disposal the background.The 3D histogram is used to see the ability of clustering.At last

the mathematical morphology is integrated in the course of the railway tickets codes segmentation.Those give convenience to the tickets recognition.The experiment results show the feasible application of the method given above in the tickets codes segmentation.

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references

基于KL变换的TM图像变化信息提取方法 [J]. 刘永昌,张平,严卫东,陈书海. 计算机工程与应用 . 2002(04)

基于KL肤色的人脸初定位 [J]. 周宗恒,韩懿,高艳芳. 计算机工程 . 2001(04)

数字图像处理[M]. 电子工业出版社 , (美)RafaelC.Gonzalez,（美）RichardE.Woods,（美）StevenL.Eddins著, 2005

现代模式识别[M]. 国防科技大学出版社 , 孙即祥等编著, 2002

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