Vectorized fingerprint representation using Minutiae Relation Code

Author

Abe, Narishige ; Shinzaki, Takashi

Author_Institution

Fujitsu Labs. Ltd., Kawasaki, Japan

fYear

2015

fDate

19-22 May 2015

Firstpage

408

Lastpage

415

Abstract

Minutiae-based vector representation algorithms have been proposed, which allow us not only to speed up matching tasks, but also to easily apply for various template protection techniques, such as Fuzzy Vault, Fuzzy Commitment, and BioHashing. In this paper, we propose a new vectorized fingerprint descriptor called Minutiae Relation Code(MRC), which consists of a set of vector-represented minutiae relation information between arbitrary minutiae. We also evaluate authentication performances using FVC2002 Database(DB1, DB2, DB3, DB4) and we show 0.82% Equal Error Rate(EER) in DB1, 0.82% in DB2, 2.71% in DB3, and 1.49% in DB4.

Keywords

error statistics; fingerprint identification; fuzzy set theory; image matching; image representation; message authentication; EER; FVC2002 database; MRC; authentication performances; biohashing; equal error rate; fuzzy commitment; fuzzy vault; matching tasks; minutiae relation code; minutiae relation information; minutiae-based vector representation algorithms; template protection techniques; vectorized fingerprint descriptor; vectorized fingerprint representation; Accuracy; Authentication; Databases; Feature extraction; Fingerprint recognition; Integrated circuits; Mathematical model;

fLanguage

English

Publisher

ieee

Conference_Titel

Biometrics (ICB), 2015 International Conference on

Conference_Location

Phuket

Type

conf

DOI

10.1109/ICB.2015.7139103

Filename

7139103