[1]朱兰,袁保社,余伟. 基于滴水算法的印刷体维吾尔文切分方法[J].计算机技术与发展,2015,25(07):107-110.
　ZHU Lan,YUAN Bao-she,YU Wei. Segmentation Method of Printed Uyghur Based on Drop Fall Algorithm[J].,2015,25(07):107-110.
点击复制

 基于滴水算法的印刷体维吾尔文切分方法()
分享到：

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

卷:
25
期数:
2015年07期
页码:
107-110
栏目:
智能、算法、系统工程
出版日期:
2015-07-10

文章信息/Info

Title:
 Segmentation Method of Printed Uyghur Based on Drop Fall Algorithm
文章编号:
1673-629X（2015)07-0107-04
作者:
 朱兰; 袁保社; 余伟
 新疆大学 信息科学与工程学院
Author(s):
 ZHU Lan; YUAN Bao-she; YU Wei
关键词:
 ; 印刷体维吾尔文; 切分; 连体段; 重叠; 基线; 滴水算法
Keywords:
 ; printed Uyghur; segmentation; conjoined section; overlap; baseline; drop fall algorithm
分类号:
TP391.43
文献标志码:
A
摘要:
 为进一步提高印刷体维吾尔文字符的切分准确性，尤其针对每一行内的两个连体段之间(包括两个独写字母之间以及连体段与独写字母之间的情况)存在重叠现象时的切分，现有的方法未能有效地处理该情况，所以针对此问题提出了一种基于改进的滴水算法的切分方法。该方法首先判断两个连体段之间的关系，若存在空白间隙，则选择空白间隙的左右端作为切分点；若存在重叠现象，则选择基线空白间隙的中点作为切分点，然后根据滴落规则对两个连体段进行切分。实验结果表明，该方法能有效提高切分准确率。
Abstract:
 In order to further enhance the segmentation accuracy of printed Uyghur characters,especially for the segmentation where there is an overlap between two conjoined sections ( including the situation between two independent characters as well as between the con-joined section and the independent character) within each line,the existing methods have not dealt with the situation effectively. There-fore,a segmentation method based on improved drop fall algorithm for this problem is proposed. The method first determines the relation-ship between the two conjoined sections. If there is a gap,then select the left and right ends of the gap as the segmentation points. If there is an overlap,then select the midpoint of the baseline of the gap as the segmentation point,and then segment the two conjoined sections according to the dripping rules. The experimental results show that this method can effectively improve the segmentation accuracy.

相似文献/References:

[1]张志宏,吴庆波,邵立松,等.基于飞腾平台TOE协议栈的设计与实现[J].计算机技术与发展,2014,24(07):1.
　ZHANG Zhi-hong,WU Qing-bo,SHAO Li-song,et al. Design and Implementation of TCP/IP Offload Engine Protocol Stack Based on FT Platform[J].,2014,24(07):1.
[2]梁文快,李毅. 改进的基因表达算法对航班优化排序问题研究[J].计算机技术与发展,2014,24(07):5.
　LIANG Wen-kuai,LI Yi. Research on Optimization of Flight Scheduling Problem Based on Improved Gene Expression Algorithm[J].,2014,24(07):5.
[3]黄静,王枫,谢志新,等. EAST文档管理系统的设计与实现[J].计算机技术与发展,2014,24(07):13.
　HUANG Jing,WANG Feng,XIE Zhi-xin,et al. Design and Implementation of EAST Document Management System[J].,2014,24(07):13.
[4]侯善江[],张代远[][][]. 基于样条权函数神经网络P2P流量识别方法[J].计算机技术与发展,2014,24(07):21.
　HOU Shan-jiang[],ZHANG Dai-yuan[][][]. P2P Traffic Identification Based on Spline Weight Function Neural Network[J].,2014,24(07):21.
[5]李璨,耿国华,李康,等. 一种基于三维模型的文物碎片线图生成方法[J].计算机技术与发展,2014,24(07):25.
　LI Can,GENG Guo-hua,LI Kang,et al. A Method of Obtaining Cultural Debris’ s Line Chart Based on Three-dimensional Model[J].,2014,24(07):25.
[6]翁鹤,皮德常. 混沌RBF神经网络异常检测算法[J].计算机技术与发展,2014,24(07):29.
　WENG He,PI De-chang. Chaotic RBF Neural Network Anomaly Detection Algorithm[J].,2014,24(07):29.
[7]刘茜[],荆晓远[],李文倩[],等. 基于流形学习的正交稀疏保留投影[J].计算机技术与发展,2014,24(07):34.
　LIU Qian[],JING Xiao-yuan[,LI Wen-qian[],et al. Orthogonal Sparsity Preserving Projections Based on Manifold Learning[J].,2014,24(07):34.
[8]尚福华,李想,巩淼. 基于模糊框架-产生式知识表示及推理研究[J].计算机技术与发展,2014,24(07):38.
　SHANG Fu-hua,LI Xiang,GONG Miao. Research on Knowledge Representation and Inference Based on Fuzzy Framework-production[J].,2014,24(07):38.
[9]叶偲,李良福,肖樟树. 一种去除运动目标重影的图像镶嵌方法研究[J].计算机技术与发展,2014,24(07):43.
　YE Si,LI Liang-fu,XIAO Zhang-shu. Research of an Image Mosaic Method for Removing Ghost of Moving Targets[J].,2014,24(07):43.
[10]余松平[][],蔡志平[],吴建进[],等. GSM-R信令监测选择录音系统设计与实现[J].计算机技术与发展,2014,24(07):47.
　YU Song-ping[][],CAI Zhi-ping[] WU Jian-jin[],GU Feng-zhi[]. Design and Implementation of an Optional Voice Recording System Based on GSM-R Signaling Monitoring[J].,2014,24(07):47.

更新日期/Last Update: 2015-09-07