首页> 外文期刊>International Journal of Computer Science and Technology >Finger Vein Recognition with Gray Level Co-Occurrence Matrix based on Discreet Wavelet Transform
【24h】

Finger Vein Recognition with Gray Level Co-Occurrence Matrix based on Discreet Wavelet Transform

机译:基于离散小波变换的灰度共生矩阵手指静脉识别

获取原文
           

摘要

In this paper, presented a robust method for finger vein recognition with gray level co- occurrence matrix based on the discrete wavelet transform. In first step for compression of the image we used wavelet Daubechies 4. Also we used local binary pattern for feature extraction.The combination of local binary pattern and gray level co- occurrence matrix with discrete wavelet transform is not used before for finger vein recognition. The simulation results show that this method is robust and fast for feature extraction and classification.Full Paper
机译:在本文中,提出了一种基于离散小波变换的灰度共现矩阵进行手指静脉识别的鲁棒方法。在图像压缩的第一步中,我们使用了小波Daubechies4。另外,我们使用了局部二进制模式进行特征提取。之前没有使用局部二进制模式和灰度共生矩阵与离散小波变换的组合来进行手指静脉识别。仿真结果表明该方法对特征提取和分类具有鲁棒性和快速性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号