Biometric Identification through Hand Geometry Measurements

  • Authors:
  • Raul Sanchez-Reillo;Carmen Sanchez-Avila;Ana Gonzalez-Marcos

  • Affiliations:
  • Ciudad Univ., Madrid, Spain;Ciudad Univ., Madrid, Spain;Ciudad Univ., Madrid, Spain

  • Venue:
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Year:
  • 2000

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Abstract

A work in defining and implementing a biometric system based on hand geometry identification is presented here. Hand features are extracted from a color photograph taken when the user has placed his hand on a platform designed for such a task. Different pattern recognition techniques have been tested to be used in classification and/or verification from Euclidean distance to neural networks. Experimental results, up to a 97 percent rate of success in classification, will show the possibility of using this system in medium/high security environments with full acceptance from all users.