Face Identification by Real-Time Connectionist System

  • Pedro GaldámezEmail author
  • Angélica González
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 217)


This document provides an approach to biometrics analysis which consists in the location and identification of faces in real time, making the concept a safe alternative to Web sites based on the paradigm of user and password. Numerous techniques are available to implement face recognition including the principal component analysis (PCA), neural networks, and geometric approach to the problem considering the shapes of the face representing a collection of values. The study and application of these processes originated the development of a security architecture supported by the comparison of images captured from a webcam using methodology of PCA, and the Hausdorff algorithm of distance as similarity measures between a general model of the registered user and the objects (faces) stored in the database, the result is a web authentication system with main emphasis on efficiency and application of neural networks.


Neural networks eigenfaces Hausdorff distance Face Recognition 


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Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  1. 1.University of SalamancaSalamancaSpain

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