互联网 qkzz.net
全刊杂志网:首页 > 女性 > 文章正文
刊社推荐

基于力场收敛特征的多姿态人耳识别


□ 董冀媛 穆志纯 王 瑜

  摘 要:提出了一种通过提取力场收敛特征进行多姿态人耳识别的新方法。首先把人耳图像转换为力场图像,通过计算力场的散度得到人耳收敛特征,然后使用零空间线性判别分析算法进一步提取特征并分类识别。实验结果表明,力场收敛特征比最初基于力场变换的势能阱特征更为稳定,而零空间线性判别分析方法也优于传统的主元分析降维方法,更好地解决了小样本问题,识别率得到进一步提高。该方法能够有效识别多姿态人耳图像。

  关键词:人耳识别; 力场变换; 散度; 收敛特征; 零空间线性判别分析

  中图分类号:TP391文献标志码:A

  文章编号:1001-3695(2009)06-2370-04

  doi:10.3969/j.issn.1001-3695.2009.06.112

  Multi-pose ear recognition based on force field convergence feature

  DONG Ji-yuan , MU Zhi-chun, WANG Yu

  (School of Information Engineering, University of Science & Technology Beijing, Beijing 100083, China)

  Abstract:

  This paper examined the feature extraction method based on force field transformation and developed a new approach for multi-pose ear recognition. Firstly transformed the initial gray ear image to force field and calculated the divergence of the force field to obtain the convergence feature of ear. Then employed the algorithm of null-space based linear discriminant analysis (NLDA) to complement classification and recognition. The experimental results show that the proposed method is more robust and effective than the initial feature extraction method based on force field transformation, the potential well-based method and demonstrate effectiveness for multi-pose ear recognition.

......
很抱歉,暂无全文,若需要阅读全文或喜欢本刊物请联系《计算机应用研究》杂志社购买。
欢迎作者提供全文,请点击编辑
分享:
 

了解更多资讯,请关注“木兰百花园”
分享:
 
精彩图文


关键字
支持中国杂志产业发展,请购买、订阅纸质杂志,欢迎杂志社提供过刊、样刊及电子版。
关于我们 | 网站声明 | 刊社管理 | 网站地图 | 联系方式 | 中图分类法 | RSS 2.0订阅 | IP查询
全刊杂志赏析网 2017