| 注册
首页|期刊导航|数据采集与处理|基于数字结构特征的发票号码识别算法

基于数字结构特征的发票号码识别算法

崔文成 任磊 刘阳 邵虹

数据采集与处理2017,Vol.32Issue(1):119-125,7.
数据采集与处理2017,Vol.32Issue(1):119-125,7.DOI:10.16337/j.1004-9037.2017.01.014

基于数字结构特征的发票号码识别算法

Invoice Number Recognition Algorithm Based on Numerical Structure Characteristics

崔文成 1任磊 1刘阳 1邵虹1

作者信息

  • 1. 沈阳工业大学信息科学与工程学院,沈阳,110870
  • 折叠

摘要

Abstract

Interference factors such as seal cover,invoice crease and so on,cause noise adhesion in number area of some invoice,which would seriously lead to the invoice number segmentation error.Aiming at this problem,a noise adhesion area repairing algorithm is proposed.At the same time,according to the font structure and characteristics of ordinary invoice number,invoice number recognition algorithm based on characteristics of digital structure is proposed.Firstly,define number structure features,including four kinds of fill area,two kinds of number of passing through the character,and four kinds of hollow area,which constitute a 10-dimensional feature vector of the number to be identified.Then,match the feature vector with the template features in the standard template library,by obtaining the Euclidean distance,and regard the corresponding number with the minimum Euclidean distances as the last recognition result.The proposed method and printed number recognition method based on the improved left and right contour features are compared.Experimental results indicate that the proposed identification algorithm has higher accuracy,faster recognition speed and stronger robustness to noise.

关键词

发票号码识别/噪声粘连区域/数字结构特征

Key words

invoice number recognition/noise adhesion area/numerical structure characteristics

分类

信息技术与安全科学

引用本文复制引用

崔文成,任磊,刘阳,邵虹..基于数字结构特征的发票号码识别算法[J].数据采集与处理,2017,32(1):119-125,7.

基金项目

辽宁省自然科学基金(201202162)资助项目 (201202162)

辽宁省高等学校优秀人才支持计划(LJQ2013013)资助项目. (LJQ2013013)

数据采集与处理

OA北大核心CSCDCSTPCD

1004-9037

访问量0
|
下载量0
段落导航相关论文