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  • 标题:Secured Multimodal Biometric Login using MapReduce
  • 本地全文:下载
  • 作者:Meghana .A. Divakar
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2016
  • 卷号:4
  • 期号:4
  • 页码:5227
  • DOI:10.15680/IJIRCCE.2016.0404186
  • 出版社:S&S Publications
  • 摘要:Establishing the identity of a person is becoming critical in our vastly interconnected society.The need for reliable user authentication techniqueshas increased in the wake of heightened concerns about security and rapid advancement in networking.Biometrics is the most recognized means for identification of person. Although the Unimodal biometric systems serve well in various areas, it has many disadvantages regarding security and accuracy. Multimodal biometric systems focus on combining more than one biometrics in order to secure the applications to a great extent. This system uses three biometric technologies in the process of person identification: (i) Face recognition; (ii) Fingerprint recognition and (iii) Speech Recognition. Map/Reduce is used forexploring and analysing big data sets which cannot be processed normally due to memory constraints
  • 关键词:Multimodal Biometrics; Face recognition; Fingerprint recognition; Speech Recognition; MapReduce
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