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Bimodal biometrics based on a representation and recognition approach

机译：基于表示和识别方法的双峰生物识别

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摘要

It has been demonstrated that multibiometrics can produce higher accuracy than single biometrics. This is mainly because the use of multiple biometric traits of the subject enables more information to be used for identification or verification. In this paper, we focus on bimodal biometrics and propose a novel representation and recognition approach to bimodal biometrics. This approach first denotes the biometric trait sample by a complex vector. Then, it represents the test sample through the training samples and classifies the test sample as follows: let the test sample be expressed as a linear combination of all the training samples each being a complex vector. The proposed approach obtains the solution by solving a linear system. After evaluating the effect, in representing the test sample of each class, the approach classifies the test sample into the class that makes the greatest effect. The approach proposed is not only novel but also simple and computationally efficient. A large number of experiments show that our method can obtain promising results.
机译：已经证明，多重生物测定法可以产生比单个生物测定法更高的准确性。这主要是因为使用受试者的多种生物特征可以使更多信息用于识别或验证。在本文中，我们专注于双峰生物特征识别，并提出了一种新颖的表示和识别双峰生物特征的方法。该方法首先通过复数向量表示生物特征样本。然后，它通过训练样本表示测试样本，并对测试样本进行如下分类：让测试样本表示为所有训练样本的线性组合，每个训练样本均为复杂向量。所提出的方法通过求解线性系统来获得解决方案。在评估效果之后，在表示每个类别的测试样本时，该方法将测试样本分类为效果最大的类别。所提出的方法不仅新颖，而且简单且计算效率高。大量实验表明，我们的方法可以获得令人满意的结果。

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  • 来源
    《Optical engineering》 |2011年第3期|p.314-320|共7页
  • 作者

    Yong Xu; Aini Zhong; Jian Yang; David Zhang;

  • 作者单位

    Bio-Computing Research Center Shenzhen Graduate School Harbin Institute of Technology Shenzhen, 518055, China;

    Bio-Computing Research Center Shenzhen Graduate School Harbin Institute of Technology Shenzhen, 518055, China;

    Nanjing University of Science and Technology School of Computer Science & Technology Nanjing, 210094, China;

    The Hong Kong Polytechnic University Biometrics Research Centre Department of Computing Hung Horn, Kowloon, Hong Kong;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    biometrics; pattern recognition; computer vision; face recognition.;

    机译：生物识别;模式识别;计算机视觉;人脸识别。;

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