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Towards large-scale face-based race classification on spark framework

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Abstract

Recently, the identification of an individual race has become an important research topic in face recognition systems, especially in large-scale face images. In this paper, we propose a new large-scale race classification method which combines Local Binary Pattern (LBP) and Logistic Regression (LR) on Spark framework. LBP is used to extract features from facial images, while spark’s logistic regression is used as a classifier to improve the accuracy and speedup the classification system. The race recognition method is performed on Spark framework to process, in a parallel way, a large scale of data. The evaluation of our proposed method has been performed on two large face image datasets CAS-PEAL and Color FERET. Two major races were considered for this work, including Asian and Non-Asian races. As a result, we achieve the highest race classification accuracy (99.99%) compared to Linear SVM, Naive Bayesian (NB), Random Forest(RF), and Decision Tree (DT) Spark’s classifiers. Our method is compared against different state-of-the-art methods on race classification, the obtained results show that our approach is more efficient in terms of accuracy and processing time.

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Notes

  1. Race Wiki (Race human classification): http://en.wikipedia.org/wiki/

  2. https://spark.apache.org/docs/1.6.1/mllib-classification-regression.html

  3. CAS-PEAL Face Database: http://www.jdl.ac.cn/peal/index.html

  4. Color FERET Database Share: https://www.nist.gov/itl/iad/image-group/color-feret-database

  5. Linear Methods RDD-based API: https://spark.apache.org/docs/2.2.0/mllib-linear-methods.html/logistic-regression

  6. CAS-PEAL Face Database: http://www.jdl.ac.cn/peal/index.html

  7. color FERET Database Share: https://www.nist.gov/itl/iad/image-group/color-feret-database

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Authors and Affiliations

  1. LaSTIC Laboratory, University of Batna 2, Batna, Algeria

    Mezzoudj Saliha, Behloul Ali & Seghir Rachid

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  1. Mezzoudj Saliha
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  2. Behloul Ali
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  3. Seghir Rachid
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Saliha, M., Ali, B. & Rachid, S. Towards large-scale face-based race classification on spark framework. Multimed Tools Appl 78, 26729–26746 (2019). https://doi.org/10.1007/s11042-019-7672-7

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