Radiation optimization and image processing algorithms in the identification of hand vein patterns

  • Authors:
  • Septimiu Crisan;Ioan Gavril Tarnovan;Titus Eduard Crisan

  • Affiliations:
  • Department of Electrical Measurement, Faculty of Electrical Engineering, Technical University of Cluj-Napoca, Str.C.Daicoviciu nr.15, 400020 Cluj-Napoca, Romania;Department of Electrical Measurement, Faculty of Electrical Engineering, Technical University of Cluj-Napoca, Str.C.Daicoviciu nr.15, 400020 Cluj-Napoca, Romania;Department of Electrical Measurement, Faculty of Electrical Engineering, Technical University of Cluj-Napoca, Str.C.Daicoviciu nr.15, 400020 Cluj-Napoca, Romania

  • Venue:
  • Computer Standards & Interfaces
  • Year:
  • 2010

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Abstract

Vein pattern recognition is one of the newest biometric techniques researched today. While the concept behind the method is simple, there are various challenges to be found throughout the design and implementation of a vein-scanning device concerning the lighting system and the image processing algorithms. To achieve low scanning errors, the acquired image should be almost noiseless and the algorithms should detect the vein pattern in various conditions. Many implementations of this method are now in a commercial phase and there is a great need for low cost systems that can detect human veins with minimum computational requirements.