Retinal Fundus Biometric Analysis for Personal Identifications

  • Authors:

  • Vitoantonio Bevilacqua;Lucia Cariello;Donatello Columbo;Domenico Daleno;Massimiliano Dellisanti Fabiano;Marco Giannini;Giuseppe Mastronardi;Marcello Castellano

  • Affiliations:

  • Department of Electrical and Electronics, Polytechnic of Bari, Bari, Italy 4-70125 and e.B.I.S. s.r.l. (electronic Business in Security), Spin-Off of Polytechnic of Bari, Valenzano (BA), Italy 3-7 ...;Department of Electrical and Electronics, Polytechnic of Bari, Bari, Italy 4-70125 and e.B.I.S. s.r.l. (electronic Business in Security), Spin-Off of Polytechnic of Bari, Valenzano (BA), Italy 3-7 ...;Department of Electrical and Electronics, Polytechnic of Bari, Bari, Italy 4-70125;Department of Electrical and Electronics, Polytechnic of Bari, Bari, Italy 4-70125 and e.B.I.S. s.r.l. (electronic Business in Security), Spin-Off of Polytechnic of Bari, Valenzano (BA), Italy 3-7 ...;Digital Future Engineering, , Bari, Italy 70124;Centro Laser s.c.a.r.l., , Valenzano (BA), Italy 70010;Department of Electrical and Electronics, Polytechnic of Bari, Bari, Italy 4-70125 and e.B.I.S. s.r.l. (electronic Business in Security), Spin-Off of Polytechnic of Bari, Valenzano (BA), Italy 3-7 ...;Department of Electrical and Electronics, Polytechnic of Bari, Bari, Italy 4-70125 and e.B.I.S. s.r.l. (electronic Business in Security), Spin-Off of Polytechnic of Bari, Valenzano (BA), Italy 3-7 ...

  • Venue:
  • ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
  • Year:
  • 2008

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Abstract

In this paper a biometric system for personal identification, realized through the manipulation of retinal fundus images and the detection of its bifurcation points, is described. In the image pre-processing step, a strong contrast exaltation between blood vessels and the background in retinal image is carried out; then blood vessels are extracted and next the vasculature bifurcation and crossover points are identified within squared shaped regions used to window the image. Finally the features sets are compared with a pattern recognition algorithm and a novel formulation is introduced to evaluate a similarity score and to obtain the personal identification.