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混合点状和非规则军标的在线手绘识别

邓维 吴玲达 张友根 赵志鹏

邓维, 吴玲达, 张友根, 等 . 混合点状和非规则军标的在线手绘识别[J]. 北京航空航天大学学报, 2015, 41(10): 1935-1942. doi: 10.13700/j.bh.1001-5965.2014.0826
引用本文: 邓维, 吴玲达, 张友根, 等 . 混合点状和非规则军标的在线手绘识别[J]. 北京航空航天大学学报, 2015, 41(10): 1935-1942. doi: 10.13700/j.bh.1001-5965.2014.0826
DENG Wei, WU Lingda, ZHANG Yougen, et al. Online sketch recognition for mixed point and irregular military symbols[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(10): 1935-1942. doi: 10.13700/j.bh.1001-5965.2014.0826(in Chinese)
Citation: DENG Wei, WU Lingda, ZHANG Yougen, et al. Online sketch recognition for mixed point and irregular military symbols[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(10): 1935-1942. doi: 10.13700/j.bh.1001-5965.2014.0826(in Chinese)

混合点状和非规则军标的在线手绘识别

doi: 10.13700/j.bh.1001-5965.2014.0826
基金项目: "核高基"国家科技重大专项(2013ZX01045-004)
详细信息
    作者简介:

    邓维(1986-),男,湖北武汉人,博士研究生,dengwei@whu.edu.cn

    通讯作者:

    吴玲达(1962-),女,上海人,教授,wld@nudt.edu.cn,主要研究方向为空间信息获取与处理.

  • 中图分类号: TP391

Online sketch recognition for mixed point and irregular military symbols

  • 摘要: 当前对在线手绘军标图符识别的研究只针对单一类型的手绘点状军标或非规则军标,分别使用不同方法进行识别.但在特殊应用中二者常混合输入,当待识别军标图符的类型未知时,如何识别是一个重要问题.提出一种基于最小生成树(MST)覆盖模型的混合识别方法,训练阶段,分别对点状和非规则军标样本建立MST覆盖模型,并训练一个二分类支持向量机(SVM)分类器;识别阶段,先通过几何和结构信息粗判断军标类型,再通过置信度估计和融合的方法确定未知军标的类型.在113类点状军标和36类非规则军标的数据集中实验,军标类型区分准确率为94.7%,最终识别率为91.6%,且能满足实时要求.

     

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出版历程
  • 收稿日期:  2014-12-30
  • 修回日期:  2015-04-10
  • 网络出版日期:  2015-10-20

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