[1]张婷 吴元君 黄俊 吴建国.选票选举系统中选票图像的预处理方法研究[J].计算机技术与发展,2007,(04):225-228.
　ZHANG Ting,WU Yuan-jun,HUANG Jun,et al.Research of Image Pre- Processing in Vote Processing System[J].,2007,(04):225-228.
点击复制

选票选举系统中选票图像的预处理方法研究()
分享到：

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2007年04期
页码:
225-228
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
Research of Image Pre- Processing in Vote Processing System
文章编号:
1673-629X（2007）04-0225-04
作者:
张婷1 吴元君2 黄俊1 吴建国1
[1]安徽大学计算机科学与技术学院[2]安徽财贸职业学院
Author(s):
ZHANG Ting;  WU Yuan-jun;  HUANG Jun;  WU Jian-guo
[1]School of Computer Sci. ＆ Tech. , Anhui University[2]Anhui Finance and Trade Technology College
关键词:
选举系统; 图像识别; 预处理; 脱机手写体汉字
Keywords:
vote systerm;  image recognition;  pre - processing;  off - line handwritten Chinese character
分类号:
TP391.41
文献标志码:
A
摘要:
基于图像识别技术的选举计票系统是由图像获取系统、机械传动系统、计算机、网络等构成的光、机、电、信息一体化装置，采用与普通光学标记阅读机完全不同的技术，使用光学字符识别的方法、算法完成选票上标记的识别。此系统中图像识别是识别出与会代表填写的表示同意、反对或弃权的“√、×、○、●、＼、／’等各种手写符号，它属于脱机手写体汉字识别。重点讨论了图像灰度化、二值化、倾斜校正、平滑以及细化等选票信息识别中非常重要的图像处理技术。针对选票图像的特性，以提高识别率为目的，提出了恰当的预处理方法
Abstract:
Vote processing system based on image recognition is an integrative device composed of imaging collection, transmission mechanism, computer and networking subsystems. Differs from other vote processing system which is based on the optical mark recognition, the system adopts methods, algorithms of optical character recognition techniques to recognize the handwritten symbols on votes. So this systerm is to recognize all kinds of handwritten symbols written by candidates such as＂√,× ,○,●, ／ ,/＂ ,which belongs to off- line handwritten Chinese character recognition. In this paper, several important image processing techniques of vote information recognition are discussed, such as transforming of the color plate to gray plate, image binarization, skew correction, image smoothing, thinning, etc. In order to improve the rate of correct identification, put forward proper methods of image pre- processing

相似文献/References:

[1]王明平 宋丽梅.基于计算机视觉的车架号采集系统[J].计算机技术与发展,2008,(04):239.
　WANG Ming-ping,SONG Li-mei.Vehicle Identify Number Acquisition System Based on Machine-Vision[J].,2008,(04):239.
[2]徐仕玲 赵敏 徐建波.野外早期火灾图像识别方法研究[J].计算机技术与发展,2008,(06):214.
　XU Shi-ling,ZHAO Min,XU Jian-bo.Research for Early Fire Image Recognition Technology in Outdoors[J].,2008,(04):214.
[3]吴忠 朱国龙 黄葛峰 吴建国.基于图像识别技术的手写数字识别方法[J].计算机技术与发展,2011,(12):48.
　WU Zhong,ZHU Guo-long,HUANG Ge-feng,et al.Handwritten Digit Recognition Based on Image Recognition System[J].,2011,(04):48.
[4]汪晨 张涛 林为民 邓松 时坚 李伟伟.图像识别综述及在电力信息安全中的应用研究[J].计算机技术与发展,2012,(04):161.
　WANG Chen,ZHANG Tao,LIN Wei-min,et al.Image Recognition Review and Application Research in Electric Power Information Security[J].,2012,(04):161.
[5]王珂雅 邱力军.一种新的脑部CT图像异常检测算法[J].计算机技术与发展,2012,(05):185.
　WANG Ke-ya,QIU Li-jun.A New Anomaly Detection Algorithm for Brain CT Image[J].,2012,(04):185.
[6]周诚诚 张代远[].利用图像识别技术过滤海量可疑钓鱼网站[J].计算机技术与发展,2012,(11):246.
　ZHOU Cheng-cheng,ZHANG Dai-yuan.Using Image Recognition Technology to Filter Mass Suspicious Phishing Sites[J].,2012,(04):246.
[7]孙全,刘政怡,吴国栋,等. 基于版面理解的选票软件设计[J].计算机技术与发展,2014,24(11):207.
　SUN Quan,LIU Zheng-yi,WU Guo-dong,et al. Design of Voting Software Based on Layout Understanding[J].,2014,24(04):207.
[8]毕 杨,宋 飞,王 轩.一种航空维修工具智能管理系统的设计与实现[J].计算机技术与发展,2020,30(07):199.[doi:10. 3969 / j. issn. 1673-629X. 2020. 07. 041]
　BI Yang,SONG Fei,WANG Xuan.Design and Implementation of an Intelligent Management System of Aviation Maintenance Tools[J].,2020,30(04):199.[doi:10. 3969 / j. issn. 1673-629X. 2020. 07. 041]
[9]严一鸣[],郭星[]. 基于计算机视觉的交互式电子沙盘系统研究[J].计算机技术与发展,2017,27(06):195.
　YAN Yi-ming[],GUO Xing[]. Investigation on Interactive Electronic Sand Table System with Computer Vision[J].,2017,27(04):195.
[10]高友文,周本君,胡晓飞.基于数据增强的卷积神经网络图像识别研究[J].计算机技术与发展,2018,28(08):62.[doi:10.3969/ j. issn.1673-629X.2018.08.013]
　GAO You-wen,ZHOU Ben-jun,HU Xiao-fei.Research on Image Recognition of Convolution Neural Network Based on Data Enhancement[J].,2018,28(04):62.[doi:10.3969/ j. issn.1673-629X.2018.08.013]

备注/Memo

备注/Memo:
张婷（1981-），女，安徽含山人，硕士研究生，研究方向为智能CAD／EDA；吴建国，教授，博士生导师，研究方向为中文信息处理、智能CAD／EDA
更新日期/Last Update: 1900-01-01