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A Feature-Based Kinship Verification Technique Using Convolutional Neural Network

  • Apoorv JainEmail author
  • Naman Bhagat
  • Varun Srivastava
  • Priyanshu Tyagi
  • Pragya Jain
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 612)

Abstract

The research in the field of kinship verification is currently very active and many new avenues are being explored. The conventional methods used for the feature extraction and classification purposes in kinship verification often fail to live up to our expected results. The proposed work aims at extraction of facial-based features and integrates them with a Siamese neural network to achieve kinship verification. The given algorithm is found to achieve better results in terms of accuracy over other recent CNN-based algorithms for kinship verification. The accuracy has improved by 1.4 and 1.5% over CNN-points algorithm.

Keywords

Kinship verification Deep networks Siamese network Image classification 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Apoorv Jain
    • 1
    Email author
  • Naman Bhagat
    • 1
  • Varun Srivastava
    • 1
  • Priyanshu Tyagi
    • 1
  • Pragya Jain
    • 1
  1. 1.Bharati Vidyapeeth’s College of EngineeringNew DelhiIndia

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