东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2011, Vol. 32 ›› Issue (11): 1529-1533.DOI: -

• 论著 • 上一篇    下一篇

基于遗传算法自适应建立HMM的静脉识别算法

薛定宇;贾旭;崔建江;刘晶;   

  1. 东北大学信息科学与工程学院;
  • 收稿日期:2013-06-19 修回日期:2013-06-19 发布日期:2013-04-04
  • 通讯作者: -
  • 作者简介:-
  • 基金资助:
    国家自然科学基金资助项目(61174145)

A vein recognition algorithm based on establishing HMM adaptively through using GA

Xue, Ding-Yu (1); Jia, Xu (1); Cui, Jian-Jiang (1); Liu, Jing (1)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110819, China
  • Received:2013-06-19 Revised:2013-06-19 Published:2013-04-04
  • Contact: Jia, X.
  • About author:-
  • Supported by:
    -

RichHTML

0

PDF (PC)

554

摘要： 为了准确地对人的身份进行识别,利用图像中脉络延伸方向与脉络间位置的相互联系,将隐马尔科夫模型(HMM)应用于识别系统中,提出了一种基于遗传算法自适应建立HMM的静脉识别算法.图像经预处理后得到静脉的骨架信息,将细化后的静脉图像进行Radon变换,每一静脉对象可表示为一个HMM;对于已知确定的训练样本库,利用遗传算法自适应调整HMM参数,使所有测试图像的观测序列在真实匹配模型中发生的概率值远远大于其在虚假匹配模型中发生的概率值,提高了不同静脉对象的区分度.实验表明,该算法具有较高的正确识别率,并具有良好的实时性.

关键词: 静脉识别, 遗传算法, 特征提取, 隐马尔科夫模型, 自适应参数

Abstract: In order to recognize one's identity accurately, through using the extension direction of vein and location relations among contexts, hidden Markov model (HMM) was applied in vein recognition system and a vein recognition algorithm based on establishing HMM adaptively through using GA (genetic algorithm) was proposed. The skeleton information of vein is acquired after image pretreatment, and the thinned vein image was processed by Radon transformation, then each vein object can be expressed as an HMM; for identified train sample library, the parameters of the HMM were adjusted through using GA such that the observation probability values of all the tested images provided by true matching models are much larger than those provided by false models, thus the degree of the differentiation among vein objects was significantly increased. Experiments showed that the proposed algorithm has higher correct recognition rate and better real-time performances.

中图分类号: