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Hybrid Features Extraction for Adaptive Face Images Retrieval

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  • Adel Alti

    (LRSD Laboratory, Computer Science Department, Sciences Faculty, University Ferhat Abbas Setif-1, Setif, Algeria)

Abstract

Existing methods of face emotion recognition have been limited in performance in terms of recognition accuracy and execution time. It is highly important to use efficient techniques for improving this performance. In this article, the authors present an automatic facial image retrieval combining the advantages of color normalization by texture estimators with the gradient vector. Starting from a query face image, an efficient algorithm for human face by hybrid feature extraction provides very interesting results.

Suggested Citation

  • Adel Alti, 2020. "Hybrid Features Extraction for Adaptive Face Images Retrieval," International Journal of Synthetic Emotions (IJSE), IGI Global, vol. 11(1), pages 17-26, January.
    • Handle: RePEc:igg:jse000:v:11:y:2020:i:1:p:17-26
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    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJSE.2020010102
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