节点文献

基于不变矩匹配的人耳识别

EAR RECOGNITION BASED ON MOMENT INVARIANTS

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 王忠礼穆志纯王修岩弭洪涛

【Author】 Wang Zhongli (School of Electric and Information Engineering, Beihua University, Jilin 132021) Mu Zhichun (School of Information Engineering, University of Science and Technology Beijing, Beijing 100083) Wang Xiouyan, Mi Hongtao (School of Electric and Information Engineering, Beihua University, Jilin 132021)

【机构】 北华大学电气信息工程学院北京科技大学信息工程学院

【摘要】 人耳识别技术是一门新型的个体生物识别技术,头部转动是影响人耳识别的重要原因之一.本文提出一种基于加权高阶不变矩特征方法的人耳个体生物识别系统,并初步建立60只人耳图像库.通过实验得出了主要测试数据,识别准确率可达到95%,证明该系统能够克服因头部转动对识别的影响.表明不变矩方法在人耳识别中具有一定优势.

【Abstract】 Ear recognition is a new biological identification technology for individuals, but head moving is one of primary reasons, which has influence on ear recognition performance. The ear biological identification based on high rank moment invariants with coefficient is put forward and an image data including 60 ears is primarily built in the paper. The 95% recognition accuracy rate has been reached by experimental data, and it proves the method can well conquer the influence of head moving. Thus it has the advantage in ear recognition.

【关键词】 人耳识别不变矩人耳图像库
【Key words】 Ear RecognitionMoment InvariantEar Database
【基金】 国家自然科学基金(No.60375002)
  • 【文献出处】 模式识别与人工智能 ,Pattern Recognition and Artificial Intelligence , 编辑部邮箱 ,2004年04期
  • 【分类号】TP391.4
  • 【被引频次】46
  • 【下载频次】152
节点文献中: