期刊文献+

空中手写汉字交互输入与识别实验平台构建 被引量:1

Construction of an interactive input and recognition experimental platform for handwritten Chinese characters in air
下载PDF
导出
摘要 设计与实现了基于微软Kinect摄像机的在线空中手写汉字交互输入与识别实验平台。在研究现有联机手写汉字识别的方法基础上,提出了基于视觉汉字笔画顺序和统计特征的空中手写汉字特征向量提取方法,并利用流形学习方法训练大汉字集的低维流形表示和显式映射函数,结合邻域搜索策略和语义联想可实时高效的进行空中手写汉字识别。该实验平台为空中手写汉字识别方法提供了的客观分析、评价的方式和手段。 This paper designs and realizes an online handwritten Chinese character in the air interactive input and recognition experimental platform based on Microsoft Kinect camera.Based on the research of existing online handwritten Chinese characters recognition methods,the platform utilizes the stroke order and statistic information of characters to learn low-dimensional spaces and explicit projecting functions for big character sets based on a manifold learning method.Besides,combined with neighborhood searching strategy and semantic association,the high recognition accuracy can be achieved in real time.This platform provides an objective analysis and evaluation method for the recognition of Chinese character written in air.
出处 《实验技术与管理》 CAS 北大核心 2016年第7期50-54,共5页 Experimental Technology and Management
基金 国家自然科学基金项目(61402072 61402078 61300083)
关键词 汉字识别 实验平台 人机交互 Chinese character recognition experimental platform human-computer interaction
  • 相关文献

参考文献10

  • 1张忻中.汉字识别技术[J].北京:清华大学出版社,1992.
  • 2Liu C L,Yin F,Wang D H,et al.Online and offline handwritten Chinese character recognition:benchmarking on new databases[J].Pattern Recognition,2013,46(1):155-162.
  • 3Murthy G R S,Jadon R S.A review of vision based hand gestures recognition[J].International Journal of Information Technology and Knowledge Management,2009,2(2):405-410.
  • 4Rautrav S S,Agrawal A.Vision based hand qesture recognition for human computer interction:a survey[J].Artificial Intdligence Review,2015,43(1):1-54.
  • 5万华根,肖海英,邹松.面向新一代大众游戏的手势交互技术[J].计算机辅助设计与图形学学报,2011,23(7):1159-1165. 被引量:8
  • 6金枚.外国学生识别汉字形体的认知层次从整体字形开始的原因略论[J].当代教育实践与教学研究(电子版),2015,0(11X):98-98. 被引量:1
  • 7Theodoridis S,Koutroumbas K.Pattern Recognition[M].北京:机械工业出版社,2006:483-525.
  • 8张伟,何金国.Hu不变矩的构造与推广[J].计算机应用,2010,30(9):2449-2452. 被引量:53
  • 9Wikipedia.Gabor filter[EB/OL].[2015-12-201.http://en.wikipedia.org/wiki/Gabor_filter.
  • 10He Xiaofei,Yan Shuicheng,Hu Yuxiao,et al.Learning a Locality Preserving Subspace for Visual Recognition[C]//In Proceedings of IEEE International Conference on Computer Vision.2003:385-392.

二级参考文献30

共引文献59

引证文献1

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部