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Kinship Verification from Facial Images Using Feature Descriptors

  • Aarti Goyal
  • T. Meenpal
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 768)

Abstract

Kinship Verification via facial images is an emerging research topic in the field of biometrics, pattern recognition, and computer vision. It is motivated by the findings that individuals with some genetic relations have certain similarities in their facial appearances. These similarities in the facial appearance is a result of inherited facial features from one generation to next generation, especially from parents to children. The researchers use these inherited facial features to perform Kinship Verification and validate their results. Most of the existing methods in Kinship Verification are based on metric learning which aims to improve the verification rate ignoring the effect of salient facial features. This paper aims to learn the effect of extracted facial features between pair of facial images to perform Kinship Verification. This paper proposes different feature descriptors to describe salient facial features and support vector machine classifier to learn these extracted facial features. To validate the accuracy of the proposed methods, experiments are performed on KinFaceW-I dataset. The results obtained outperformed previous results and would encourage researchers to focus on this emerging topic.

Keywords

Kinship verification Genetic similarity Feature extraction Feature classification Support vector machine (SVM) 

Notes

Acknowledgements

The research work is supported by Science and Engineering Research Board (SERB), Department of Science and Technology (DST), Government of India for the research grant. The sanctioned project title is “Design and development of an Automatic Kinship Verification system for Indian faces with possible integration of AADHAR Database.” with reference no. ECR/2016/001659.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Electronics and TelecommunicationNIT RaipurRaipurIndia

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