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User Authentication System Using Multimodal Biometrics and MapReduce

  • Meghana A. Divakar
  • Megha P. Arakeri
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 10)

Abstract

Establishing the identity of a person with the use of individual biometric features has become the need for the present technologically advancing world. Due to rise in data thefts and identity hijacking, there is a critical need for providing user security using biometric authentication techniques. Biometrics is the science of recognizing a person by evaluating the distinguished physiological and biological traits of the person. A unimodal biometric system is known to have many disadvantages with regard to accuracy, reliability, and security. Multimodal biometric systems combine more than one biometric trait to identify a person in order to increase the security of the application. The proposed multimodal biometric system combines three biometric traits for individual authentication namely Face, Fingerprint, and Voice. MapReduce is the technique used for analyzing and processing big data sets that cannot fit into memory.

Keywords

Multimodal biometrics Machine learning Face recognition Fingerprint recognition Voice matching MapReduce 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.M S Ramaiah Institute of TechnologyBangaloreIndia

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