Personal verification based on extraction and characterization of retinal feature points

TítuloPersonal verification based on extraction and characterization of retinal feature points
AutoresM. Ortega, M.G. Penedo, J. Rouco, N. Barreira, M.J. Carreira
TipoArtículo de revista
Fonte Journal of visual languages and computing, ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD, Vol. 20, No. 2, pp. 80-90 , 2009.
RankRanked Q1 in Language and Linguistics by SJR
ISSN1045-926X
DOI10.1016/j.jvlc.2009.01.006
AbstractThis paper describes a methodology of verification of individuals based on a retinal biometric pattern. The pattern consists in feature points of the retinal vessel tree, namely bifurcations and crossovers. These landmarks are detected and characterised adding semantic information to the biometric pattern. The typical authentication process of a person once extracted the biometric pattern includes matching it with the stored pattern for the authorised user obtaining a similarity value between them. A matching algorithm and a deep analysis of similarity metrics performance is presented. The semantic information added for the feature points allows reducing the computation load in the matching process as only points classified equally can be matched. The system is capable of establishing a safe confidence band in the similarity measure space between scores for patterns of the same individual and between different individuals
Palabras chaveVerification system; Similarity measure; Retinal images; Biometric pattern; Feature points matching

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