Minutia Verification using Fuzzy Logic and Geographic Points of Reference

Author

Vert, G. ; Nasser, S.

Author_Institution

Dept. of Comput. Sci., Nevada Univ., Reno, NV

fYear

2005

fDate

25-25 May 2005

Firstpage

839

Lastpage

844

Abstract

Personal identification numbers are commonly used for user authentication. Bio metric based digital signatures have evolved as a means of personal identification. Using biometric data securely and accurately is the most important concern in biometric based signature validation. Approaches to verifying biometric data which is the same as scanned data have been error prone. This paper uses a fuzzy set theory, geographic reference points and self updating database approach to improve the authentication verification of fingerprint data

Keywords

digital signatures; fingerprint identification; fuzzy logic; fuzzy set theory; biometric based digital signatures; biometric based signature validation; biometric data verification; fingerprint data authentication verification; fuzzy logic; fuzzy set theory; geographic reference points; minutia verification; personal identification numbers; self updating database; user authentication; Authentication; Bioinformatics; Biometrics; Data security; Fingerprint recognition; Fingers; Fuzzy logic; Image matching; Neural networks; Pattern recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 2005. FUZZ '05. The 14th IEEE International Conference on

Conference_Location

Reno, NV

Print_ISBN

0-7803-9159-4

Type

conf

DOI

10.1109/FUZZY.2005.1452503

Filename

1452503