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Enhanced Biometric Score Fusion Scheme Based on the AdaBoost Algorithm

             

摘要

cqvip:Information fusion in biometric systems,either multimodal or intramodal fusion,usually provides an improvement in recognition performance.This paper presents an improved score-level fusion scheme called boosted score fusion.The proposed framework is a two-stage design where an existing fusion algorithm is adopted at the first stage.At the second stage,the weights obtained by the Ada Boost algorithm are utilized to boost the performance of the previously fused results.The experimental results demonstrate that the performance of several score-level fusion methods can be improved by using the presented method.

著录项

  • 来源
    《电子科技学刊:英文版》 |2017年第2期|P.187-193|共7页
  • 作者单位

    [1]Department of Computer Science and Information Engineering;

    National Chung Cheng University;

    Chiayi 62102 [2]Department of Communications Engineering Yuan -Ze University Taoyuan 32003;

    [1]Department of Computer Science and Information Engineering;

    National Chung Cheng University;

    Chiayi 62102 [2]Department of Communications Engineering Yuan -Ze University Taoyuan 32003;

    [1]Department of Computer Science and Information Engineering;

    National Chung Cheng University;

    Chiayi 62102 [2]Department of Communications Engineering Yuan -Ze University Taoyuan 32003;

  • 原文格式 PDF
  • 正文语种 CHI
  • 中图分类 算法理论;
  • 关键词

    AdaBoost算法 融合算法 分数级 生物特征 识别性能 融合方法 信息融合 生物系统;

    机译:AdaBoost算法 融合算法 分数级 生物特征 识别性能 融合方法 信息融合 生物系统;
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