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基于盒维的手掌静脉识别算法

郭秀梅 王成义

山东农业大学学报(自然科学版)2018,Vol.49Issue(1):57-60,4.
山东农业大学学报(自然科学版)2018,Vol.49Issue(1):57-60,4.DOI:10.3969/j.issn.1000-2324.2018.01.012

基于盒维的手掌静脉识别算法

A Palm Vein Recognition Algorithm on Fractal Dimension

郭秀梅 1王成义1

作者信息

  • 1. 山东农业大学 信息科学与工程学院,山东 泰安271018
  • 折叠

摘要

Abstract

Palm vein recognition as a new biological recognition technology is widely studied in recent years.In view of the fractal dimension having relation to surface roughness,which the more complex image texture on the surface of the object, the greater the fractal dimension of this characteristic,this article applies fractal dimension to palm vein recognition system, and a palmvein recognition based on box dimension is proposed. The algorithm is tested on the near-infrared database of Hong Kong polytechnic university multispectral palmprint database.The experimental results show that the box dimension can extract palm vein feature effectively and efficiently with a high recognition rate 99.3% and less processing time 70 ms.

关键词

盒维/手掌静脉识别/算法

Key words

Box dimension/palm vein recognition/algorithm

分类

信息技术与安全科学

引用本文复制引用

郭秀梅,王成义..基于盒维的手掌静脉识别算法[J].山东农业大学学报(自然科学版),2018,49(1):57-60,4.

基金项目

山东农业大学博士基金 ()

山东农业大学学报(自然科学版)

OA北大核心CSTPCD

1000-2324

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