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An Automated Face Retrieval System Using Grasshopper Optimization Algorithm-Based Feature Selection Method

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Emerging Trends in Computing and Expert Technology (COMET 2019)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 35))

Abstract

Facial image retrieval using its contents is one of the major areas of research because of the exponential increase of multimedia data over the Internet. However, due to high dimensional features and different variations available in the images, it becomes a challenging task to obtain the relevant and non-redundant features. Therefore, for making the facial retrieval system more accurate and computationally efficient, the selection of prominent features is an important phase. In this paper, the grasshopper optimization algorithm has been used to obtain the relevant attributes from the high dimensional features vector. For the same, Oracle Research Laboratory database of faces is used. The experimental values show the efficacy of the proposed method of feature selection which eliminates the maximum 83% features among the other considered methods and the accuracy of the facial retrieval system also increases to 91.5%.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, Ranchi, Allahabad Campus, Allahabad, India

    Arun Kumar Shukla & Suvendu Kanungo

Authors
  1. Arun Kumar Shukla
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  2. Suvendu Kanungo
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Corresponding author

Correspondence to Arun Kumar Shukla .

Editor information

Editors and Affiliations

  1. Department of ECE, Karunya University, Coimbatore, India

    D. Jude Hemanth

  2. Department of Computer Science and Engineering, Panimalar Engineering College, Chennai, Tamil Nadu, India

    V. D. Ambeth Kumar

  3. Department of Computer Science and Engineering, Panimalar Engineering College, Chennai, Tamil Nadu, India

    S. Malathi

  4. Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, Baja California, Mexico

    Oscar Castillo

  5. Faculty of Computer Science, "Alexandru Ioan Cuza" University of Iasi, Iasi, Romania

    Bogdan Patrut

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Shukla, A.K., Kanungo, S. (2020). An Automated Face Retrieval System Using Grasshopper Optimization Algorithm-Based Feature Selection Method. In: Hemanth, D.J., Kumar, V.D.A., Malathi, S., Castillo, O., Patrut, B. (eds) Emerging Trends in Computing and Expert Technology. COMET 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 35. Springer, Cham. https://doi.org/10.1007/978-3-030-32150-5_47

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