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A Classification of Emotion and Gender Using Local Biorthogonal Binary Pattern from Detailed Wavelet Coefficient Face Image

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Optical and Wireless Technologies

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 472))

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Abstract

This work investigates a framework which identifies gender and emotion of the person from the face image. Gender with their expressions has a vital role in the suspect detection systems. The proposed system aids in identification of a person with their gender as male and female. Also detects gender’s expression as joy and sadness. In this paper, wavelet detailed coefficient and Biorthogonal family-based system have been used simultaneously to identify gender and emotion of a face image. Detailed image local Biorthogonal binary pattern (DILBBP) has been applied for feature extraction and for classification purpose; SVM is applied. Experiments are performed on publicly available standard FERET, INDIAN FACE, and AR FACE databases. Proposed work gives acceptable classification and recognition results with less computational time.

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Author information

Authors and Affiliations

  1. Department of Computer Science, GGITS, Jabalpur, MP, India

    Kamaljeet Singh Kalsi & Preeti Rai

Authors
  1. Kamaljeet Singh Kalsi
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  2. Preeti Rai
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Corresponding author

Correspondence to Kamaljeet Singh Kalsi .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Malaviya National Institute of Technology Jaipur, Jaipur, Rajasthan, India

    Vijay Janyani

  2. Department of Electronics and Communication Engineering, Manipal University Jaipur, Jaipur, Rajasthan, India

    Manish Tiwari

  3. Department of Electronics and Communication Engineering, Malaviya National Institute of Technology Jaipur, Jaipur, Rajasthan, India

    Ghanshyam Singh

  4. Department of Electrical, Computer, and Biomedical Engineering, University of Pavia, Pavia, Italy

    Paolo Minzioni

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Kalsi, K.S., Rai, P. (2018). A Classification of Emotion and Gender Using Local Biorthogonal Binary Pattern from Detailed Wavelet Coefficient Face Image. In: Janyani, V., Tiwari, M., Singh, G., Minzioni, P. (eds) Optical and Wireless Technologies. Lecture Notes in Electrical Engineering, vol 472. Springer, Singapore. https://doi.org/10.1007/978-981-10-7395-3_9

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  • DOI: https://doi.org/10.1007/978-981-10-7395-3_9

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7394-6

  • Online ISBN: 978-981-10-7395-3

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