Face and Ear: A Bimodal Identification System

  • Andrea F. Abate
  • Michele Nappi
  • Daniel Riccio
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4142)


In this paper, several configurations for a hybrid face/ear recognition system are investigated. The system is based on IFS (Iterated Function Systems) theory that are applied on both face and ear resulting in a bimodal architecture. One advantage is that the information used for the indexing and recognition task of face/ear can be made local, and this makes the method more robust to possible occlusions. The amount of information provided by each component of the face and the ear image has been assessed, first independently and then jointly. At last, results underline that the system significantly outperforms the existing approaches in the state of the art.


Face Recognition Face Image Iterate Function System Face Component Average Approximation Error 
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 2006

Authors and Affiliations

  • Andrea F. Abate
    • 1
  • Michele Nappi
    • 1
  • Daniel Riccio
    • 1
  1. 1.Universitá Degli Studi di SalernoFisciano, SalernoItaly

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