吉首大学学报(自然科学版)
• 计算机 • 上一篇 下一篇
曹良斌,游莉萍,刘笔余,张轩宇,周恺卿,莫礼平
出版日期:
发布日期:
通讯作者:
基金资助:
国家自然科学基金资助项目(61462029,61741205);湖南省教育厅科学研究项目(一般项目)
CAO Liangbin,YOU Liping,LIU Biyu,ZHANG Xuanyu,ZHOU Kaiqing,MO Liping
Online:
Published:
摘要:
针对查表算法模板数量多、匹配过程耗时长的缺点,分析手写体节点与周围像素邻点的相对位置,提出了一种手写体快速细化算法.该算法仅需要44个标记模板和15个优化模板即可实现对手写体二值图像的细化.实验结果表明,改进算法能够在有效降低算法复杂度的同时准确识别手写体的骨架.
关键词: 二值图像, 手写体, 细化, 骨架, 像素
Abstract:
To overcome the drawbacks of lare quantity of templates and time-consuming matching in look-up algorithm,a modified fast thinning algorithm of handwriting image is proposed which utilizies the relevant location relationship between the center pixel and the corresponding neighbors.The advantage of this proposed algorithm is that the thinning process of handwriting binary image could be realized by using 44-mark- template and 15-revised- template.The experiments show that the proposed algorithm can accurately identify the skeleton of the handwriting on the basis of effectively reducing algorithm complexity.
Key words: binary image, handwriting, thinning, skeleton, pixel
曹良斌,游莉萍,刘笔余,张轩宇,周恺卿,莫礼平. 基于二值图像的手写体快速细化算法[J]. 吉首大学学报(自然科学版), DOI: 10.3969/j.cnki.jdxb.2018.01.007.
CAO Liangbin,YOU Liping,LIU Biyu,ZHANG Xuanyu,ZHOU Kaiqing,MO Liping. A Modified Fast Thinning Algorithm of Handwriting Image Based on Binary Image[J]. Journal of Jishou University(Natural Sciences Edition), DOI: 10.3969/j.cnki.jdxb.2018.01.007.
0 / / 推荐
导出引用管理器 EndNote|Ris|BibTeX
链接本文: https://zkxb.jsu.edu.cn/CN/10.3969/j.cnki.jdxb.2018.01.007
https://zkxb.jsu.edu.cn/CN/Y2018/V39/I1/29
[1] 姜文,刘立康.基于联合两种特征的手写体维文字符识别[J].计算机工程与应用,2017,53(5):192-196. [2] 牟少敏,杜海洋,苏平,等.一种改进的快速并行细化算法[J].微电子学与计算机,2013,42(1):53-55. [3] 赵丹丹,王华彬,陶亮,等.改进的EPTA并行细化算法[J].计算机工程与应用,2016,52(9):196-201. [4] 韩建峰,宋丽丽.基于算法运算的改进细化算法[J].现代电子技术,2013,36(14):13-16. [5] 薛玉利,彭玉华,周新虹.基于实值Gabor变换的掌纹识别[J].计算机工程与应用,2007,43(6):216-219. [6] 康文雄,邓飞琪.利用模板和邻域信息的静脉骨架提取新算法[J].中国图象图形学报,2010,15(3):378-384. [7] STERNBY J,MORWING J,ANDERSSON J,et al.On-Line Arabic Handwriting Recognition with Templates[J].Pattern Recognition,2009,42(12):3 278-3 286. [8] 贺继刚,杨晓伟,吴广潮,等.基于模板保留的快速并行细化算法[J].计算机应用与软件,2007,24(12):26-28. [9] 王家隆,郭成安.一种改进的图像模板细化算法[J].中国图象图形学报,2004,9(3):297-301.