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Kinship Verification from Facial Images Using Feature Descriptors

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Cognitive Informatics and Soft Computing

Part of the book series: Advances in Intelligent Systems and Computing ((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.

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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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Authors and Affiliations

  1. Department of Electronics and Telecommunication, NIT Raipur, Raipur, India

    Aarti Goyal & T. Meenpal

Authors
  1. Aarti Goyal
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  2. T. Meenpal
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Corresponding author

Correspondence to Aarti Goyal .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Vignana Bharathi Institute of Technology, Hyderabad, Telangana, India

    Pradeep Kumar Mallick

  2. Faculty of Engineering, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

  3. Department of Electrical and Electronics Engineering, Sikkim Manipal Institute of Technology, Sikkim Manipal University, Rangpo, India

    Akash Kumar Bhoi

  4. Department of Electronic and Computer Engineering, Brunel University London, Uxbridge, Middlesex, United Kingdom

    Ahmed F. Zobaa

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Goyal, A., Meenpal, T. (2019). Kinship Verification from Facial Images Using Feature Descriptors. In: Mallick, P., Balas, V., Bhoi, A., Zobaa, A. (eds) Cognitive Informatics and Soft Computing. Advances in Intelligent Systems and Computing, vol 768. Springer, Singapore. https://doi.org/10.1007/978-981-13-0617-4_37

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