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IoT-Based Multimodal Biometric Identification for Automation Railway Engine Pilot Security System

  • K. SujathaEmail author
  • R. S. Ponmagal
  • K. Senthil Kumar
  • R. Shoba Rani
  • Golda Dilip
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 77)

Abstract

Railways are the most convenient mode of transport, but safety precaution is lagging. Train accidents, due to an unknown person operating the engine, will lead to the end of many lives and also loss of railway property. The optimal solution to meet this problem here proposes the effective system of “Automation of Railway Engine Pilot Security System using Multimodal Biometrics Identification” (AREPSS using MBI). Iris and Fingerprint inputs are given by engine pilot from cabin to control room using Internet of things (IoT). In control room, identifications take place by fusing the inputs and then pass the decision signal to automatically start the engine. The common unimodal biometric system can be seen in most of the places due to its popularity. Its reliability has decreased because it requires larger memory footprint, higher operational cost, and it has slower processing speed. So, we are introducing multimodal biometric identification system which uses iris and fingerprint for security reason. The major advantage of this several modality method is that as both modalities utilized the same matcher component, the reminiscence footprint of the system is reduced. High performance is achieved by integrating multiple modalities in user verification and identification causing high dependability and elevated precision. So this procedure improves the safety in engine and thus helps in saving lives and property.

Keywords

Iris Fingerprint Unimodal Multimodal Wavelet transform Neural network Internet of things and biometric 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • K. Sujatha
    • 1
    Email author
  • R. S. Ponmagal
    • 1
  • K. Senthil Kumar
    • 1
  • R. Shoba Rani
    • 1
  • Golda Dilip
    • 1
  1. 1.Department of EEE/CSE/ECE, Center for Electronics Automation and Industrial Research (CEAIR)Dr. MGR Educational and Research InstituteChennaiIndia

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