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Face Recognition/Detection by Clustering and Probabilistic Neural Networks

  • Giacomo Capizzi
  • Salvatore Coco
  • Cinzia Giuffrida
  • Antonio Laudani
  • Giuseppe Pappalardo
Conference paper
Part of the Advances in Soft Computing book series (AINSC, volume 19)

Abstract

In this paper a face recognition/detection system is presented, composed out of three main blocks: a face extraction block, which identifies and extracts individual faces from the input image; a feature extraction block, which converts each face identified into a suitable set of features; and a PNN classifier, which recognizes the face presented to it as a feature set. Experiments carried out on a large set of images achieved excellent results in terms of speed and precision, compared with typical figures featured by most state-of-the-art systems.

Keywords

Face Recognition Input Image Probabilistic Neural Network Face Database Face Height 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Giacomo Capizzi
    • 1
  • Salvatore Coco
    • 1
  • Cinzia Giuffrida
    • 1
  • Antonio Laudani
    • 1
  • Giuseppe Pappalardo
    • 2
  1. 1.Department of Electrical, Electronic and Systems EngineeringUniversity of CataniaCataniaItaly
  2. 2.Department of Mathematics and InformaticsUniversity of CataniaCataniaItaly

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