Multi-level Aggregation in Face Recognition

  • Adam KiersztynEmail author
  • Paweł Karczmarek
  • Witold Pedrycz
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10841)


This paper presents the results of an in-depth analysis of the impact of aggregation of different parts of the face to its recognition process. A novel approach is based on the aggregation of distances determined between histograms, which describe different parts of the face as well as various color channels. In addition, we propose to include thresholding to local descriptors and demonstrate that this type of image processing highly improves the accuracy of classification process. This paper also describes a new approach to converting color images to grayscale images using the variation of each channel in the neighborhood of a given pixel.


Aggregation Facial features Face recognition Grayscale 



The authors are supported by National Science Centre, Poland [grant no. 2014/13/D/ST6/03244]. Support from the Canada Research Chair (CRC) program and Natural Sciences and Engineering Research Council is gratefully acknowledged (W. Pedrycz).


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Adam Kiersztyn
    • 1
    Email author
  • Paweł Karczmarek
    • 1
  • Witold Pedrycz
    • 2
    • 3
    • 4
  1. 1.Institute of Mathematics and Computer ScienceThe John Paul II Catholic University of LublinLublinPoland
  2. 2.Department of Electrical and Computer EngineeringUniversity of AlbertaEdmontonCanada
  3. 3.Department of Electrical and Computer Engineering, Faculty of EngineeringKing Abdulaziz UniversityJeddahSaudi Arabia
  4. 4.Systems Research InstitutePolish Academy of SciencesWarsawPoland

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