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.
|Titolo:||Retinal Fundus Biometric Analysis for Personal Identifications|
|Data di pubblicazione:||2008|
|Nome del convegno:||4th International Conference on Intelligent Computing|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1007/978-3-540-85984-0_147|
|Appare nelle tipologie:||4.1 Contributo in Atti di convegno|