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A Framework for Face Recognition Based on Fuzzy Minimal Structure Oscillation and Independent Component Analysis

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Industry Interactive Innovations in Science, Engineering and Technology

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 11))

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Abstract

This paper aims to provide a better accuracy for face recognition procedure. This new algorithm is based on accurate feature extraction and proper classification. In this paper feature coordinate-based ICA is used for feature extraction. Pixel values of invariable coordinates (containing decisive data) for every training set are considered for analyzing through ICA. After feature extraction, these values are used for fuzzy minimal structure oscillation-based classification. Proposed face recognition procedure accentuates improved classification considering the feature vectors, which is the outcome of independent component analysis of the face image.

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Authors and Affiliations

  1. Department of Mathematics, Tripura University, Agartala, India

    Sharmistha Bhattacharya (Halder) & Srijita Barman Roy

Authors
  1. Sharmistha Bhattacharya (Halder)
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  2. Srijita Barman Roy
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Corresponding author

Correspondence to Sharmistha Bhattacharya (Halder) .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication, JIS College of Engineering (JISCE), Kalyani, West Bengal, India

    Swapan Bhattacharyya

  2. Department of Physics and Nanoscience and Technology, JIS College of Engineering (JISCE), Kalyani, West Bengal, India

    Sabyasachi Sen

  3. Department of Biomedical Engineering, JIS College of Engineering (JISCE), Kalyani, West Bengal, India

    Meghamala Dutta

  4. Department of Electrical Engineering, JIS College of Engineering (JISCE), Kalyani, West Bengal, India

    Papun Biswas

  5. Department of Mechanical Engineering, Jadavpur University, Kolkata, West Bengal, India

    Himadri Chattopadhyay

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Bhattacharya (Halder), S., Roy, S.B. (2018). A Framework for Face Recognition Based on Fuzzy Minimal Structure Oscillation and Independent Component Analysis. In: Bhattacharyya, S., Sen, S., Dutta, M., Biswas, P., Chattopadhyay, H. (eds) Industry Interactive Innovations in Science, Engineering and Technology . Lecture Notes in Networks and Systems, vol 11. Springer, Singapore. https://doi.org/10.1007/978-981-10-3953-9_20

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  • DOI: https://doi.org/10.1007/978-981-10-3953-9_20

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3952-2

  • Online ISBN: 978-981-10-3953-9

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