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Evaluating Effectiveness of Color Information for Face Image Retrieval and Classification Using SVD Feature

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Advances in Computing and Data Sciences (ICACDS 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 905))

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Abstract

LBP (Local Binary Pattern) algorithm has been a popular pattern matching technique used for various purposes such as image retrieval, image classification etc. But efficiency of the algorithm could be enhanced more by applying it over decomposed sub-images of the original image as it enables in extracting and identifying more prominent features and the accuracy could be increased. Thus, in this paper, SVD (Singular Value Decomposition) is applied to individual component of a color space followed by LBP. The individual feature vectors are merged to get the final feature vector. The combined process has been applied to RGB, YCbCr, HSV and La*b color spaces for image retrieval and their behavior is analyzed. The highest value of precision, recall and f-score was found to be 57.0,85.5 and 68.4 respectively for the technique LBP-S-YCbCr, in its optimal bin size 16. Behaviour of finally obtained feature vectors of all the techniques, has also been analyzed by classifying them using KNN. Highest accuracy of classification with a value of 90% was also found for the technique LBP-S-YCbCr.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, National Institute of Science and Technology, Berhampur, 761008, Odisha, India

    Junali Jasmine Jena, G. Girish & Manisha Patro

Authors
  1. Junali Jasmine Jena
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  2. G. Girish
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  3. Manisha Patro
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Corresponding author

Correspondence to G. Girish .

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Editors and Affiliations

  1. University of KwaZulu-Natal, Durban, South Africa

    Mayank Singh

  2. Jaypee University of Information Technology, Solan, India

    P. K. Gupta

  3. Jaypee University of Engineering and Technology, Guna, Madhya Pradesh, India

    Vipin Tyagi

  4. Institute of Information Theory and Automation, Prague 8, Czech Republic

    Jan Flusser

  5. University of Ottawa, Ottawa, Canada

    Tuncer Ören

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Jena, J.J., Girish, G., Patro, M. (2018). Evaluating Effectiveness of Color Information for Face Image Retrieval and Classification Using SVD Feature. In: Singh, M., Gupta, P., Tyagi, V., Flusser, J., Ören, T. (eds) Advances in Computing and Data Sciences. ICACDS 2018. Communications in Computer and Information Science, vol 905. Springer, Singapore. https://doi.org/10.1007/978-981-13-1810-8_25

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  • DOI: https://doi.org/10.1007/978-981-13-1810-8_25

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1809-2

  • Online ISBN: 978-981-13-1810-8

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