[1]邵虹,王佳. 发票印刷体数字识别方法的研究[J].计算机技术与发展,2016,26(07):173-176.
 SHAO Hong,WANG Jia. Research on Recognition Method on Invoice Printing Number[J].,2016,26(07):173-176.
点击复制

 发票印刷体数字识别方法的研究()
分享到:

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

卷:
26
期数:
2016年07期
页码:
173-176
栏目:
应用开发研究
出版日期:
2016-07-10

文章信息/Info

Title:
 Research on Recognition Method on Invoice Printing Number
文章编号:
1673-629X(2016)07-0173-04
作者:
 邵虹王佳
 沈阳工业大学 信息科学与工程学院
Author(s):
 SHAO HongWANG Jia
关键词:
 预处理霍夫变换发票号码数字定位号码识别
Keywords:
 preprocessingHough transforminvoice numberdigital positioningdigital recognition
分类号:
TP301
文献标志码:
A
摘要:
 在发票图片的采集过程中,由于拍摄不当获取到的图片存在倾斜;受采集环境的影响,采集到的发票图片表面有光照不均匀,部分区域过亮或过暗,不利于数字的定位与识别。针对此类问题,在预处理阶段,首先应用霍夫变换法检测发票图片中的横线并计算其倾斜角,通过旋转对倾斜发票图片进行矫正;其次,对发票图像进行预处理操作,减弱光照以及噪声的影响;接着研究了普通发票版面特征以及数字分布位置,提出了一种基于投影法的定位方法,准确定位出数字区域;最终选用基于数字结构特征的方法判别数字。实验结果表明,该算法识别速度快、精度高。
Abstract:
 In the process of invoice collection,some pictures may have the tilt problem due to inappropriate photograph method. In addi-tion,non-uniform illumination may happen as a result of the photograph environment,which adds to the difficulty of location and identi-fication of invoice numbers. In view of these problems,Hough transform has been applied firstly in the preprocessing section to detect and calculate the tilt angle of the picture,then rotating to correct invoices. Secondly,preprocessing has been arranged for the invoices to elimi-nate the effect of noise. Thirdly,a method of location based on projection is proposed by the research on the layout of common invoices, which can identify the number area accurately. Finally,the algorithm based on digital structure feature is adopted to identify. The experi-ment shows that this algorithm has high identification velocity and precision rate.

相似文献/References:

[1]李玲娟 豆坤.层次分析法中判断矩阵的一致性研究[J].计算机技术与发展,2009,(10):131.
 LI Ling-juan,DOU Kun.Research on the Consistency of the Judgment Matrix in AHP[J].,2009,(07):131.
[2]李健 徐超 谭守标.一种Web数据挖掘系统的设计和研究[J].计算机技术与发展,2009,(02):70.
 LI Jian,XU Chao,TAN Shou-biao.Design and Research of a Web Data Mining System[J].,2009,(07):70.
[3]孙林森 吴小培 项明.一种有效的指纹图像预处理方法[J].计算机技术与发展,2009,(02):133.
 SUN Lin-sen,WU Xiao-pei,XIANG Ming.An Effective Method of Fingerprint Image Preprocessing[J].,2009,(07):133.
[4]杨韶华 马骏.一种基于对象相容度的形式背景分割算法[J].计算机技术与发展,2008,(02):27.
 YANG Shao-hua,MA Jun.A Context Partition Algorithm Based on Objects- Match[J].,2008,(07):27.
[5]李玲娟 李冰 薛明.K-MEANS算法在IDS中的应用研究[J].计算机技术与发展,2010,(07):129.
 LI Ling-juan,LI Bing,XUE Ming.Research on Application of K-MEANS Algorithm in IDS[J].,2010,(07):129.
[6]陈立潮 王宇 刘佳 张伟 张力.基于方向图的指纹图像预处理算法[J].计算机技术与发展,2007,(09):85.
 CHEN Li-chao,WANG Yu,LIU Jia,et al.Preprocessing of Fingerprint Image Based on Orientation Map[J].,2007,(07):85.
[7]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.
 ZHANG Ting,WU Yuan-jun,HUANG Jun,et al.Research of Image Pre- Processing in Vote Processing System[J].,2007,(07):225.
[8]龙占超 吴畅 徐俊.基于MBF200的嵌入式系统指纹预处理算法研究[J].计算机技术与发展,2006,(02):200.
 LONG Zhan-chao,WU Chang,XU Jun.Research for Fingerprint Pretreatment Algorithm of Embedded System Based on MBF200[J].,2006,(07):200.
[9]王虎 刘路路.基于图像OMR的预处理技术研究[J].计算机技术与发展,2006,(03):87.
 WANG Hu,LIU Lu-lu.Research of Pre- processing Algorithm Based on Image OMR[J].,2006,(07):87.
[10]韩升 刘广志.全文检索系统的数据预处理研究[J].计算机技术与发展,2006,(03):208.
 HAN Sheng,LIU Guang-zhi.Study of Data-Pretreatment for Full-Text Search System[J].,2006,(07):208.
[11]苑玮琦,王超尘,刘笑楠. 虹膜斑块特征提取方法研究[J].计算机技术与发展,2014,24(07):132.
 YUAN Wei-qi,WANG Chao-chen,LIU Xiao-nan. Study on Extraction Method of Plaque Characteristics[J].,2014,24(07):132.
[12]徐钧,周西峰,郭前岗. 超声信号的小波增强与改进去噪研究[J].计算机技术与发展,2015,25(02):82.
 XU Jun,ZHOU Xi-feng,GUO Qian-gang. Research on Improved De-noising and Wavelet Enhancement of Ultrasonic Signal[J].,2015,25(07):82.
[13]张亚茹,赵海涛,刘南杰,等. 基于GPS数据的交通拥堵检测[J].计算机技术与发展,2017,27(01):139.
 ZHANG Ya-ru,ZHAO Hai-tao,LIU Nan-jie,et al. Detection of Traffic Congestion Based on GPS Data[J].,2017,27(07):139.
[14]马骏[],蔺东杰[,凌广明[]. 基于海量数据的二维凸包快速生成算法[J].计算机技术与发展,2017,27(02):42.
 MA Jun[],LIN Dong-jie[],LING Guang-ming[]. Fast Algorithm for Generating Two-dimensional Convex Hull Based on Mass Data[J].,2017,27(07):42.

更新日期/Last Update: 2016-09-28