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  • 标题:A Multimodal Approach to Improve the Performance of Biometric System
  • 本地全文:下载
  • 作者:Chander Kant
  • 期刊名称:BVICAM's International Journal of Information Technology
  • 印刷版ISSN:0973-5658
  • 出版年度:2015
  • 卷号:7
  • 期号:2
  • 语种:English
  • 出版社:Bharati Vidyapeeth's Institute of Computer Applications and Management
  • 摘要:Biometric systems have very success rate in identifying an individual based on ones biological traits. In biometric history some features like weight, age, height etc. are also there to provide user recognition to some extent but not fully upto the mark because of their changing nature according to time and environment. These features are called soft biometric traits. Soft biometric traits are lack of permanence but they have some positive aspects in respect of enhancing the biometric system performance. Here in this paper, we have also highlighting the similar point but with a new aspect that is integrating the soft biometrics with fingerprint and face for improving the performance of biometric system. Here we have proposed an architecture of three different sensors to evaluate the system performance. The approach includes soft biometrics, fingerprint and face features, we have also proven the efficiency of proposed system regarding FAR (False Acceptance Ratio) and total response time, with the help of MUBI tool (Multimodal Biometrics Integration).
  • 关键词:Index Term - primary biometric;soft biometric;FAR;minutiae point;multimodal biometrics.
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