Title :
Vectorized fingerprint representation using Minutiae Relation Code
Author :
Abe, Narishige ; Shinzaki, Takashi
Author_Institution :
Fujitsu Labs. Ltd., Kawasaki, Japan
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;
Conference_Titel :
Biometrics (ICB), 2015 International Conference on
Conference_Location :
Phuket
DOI :
10.1109/ICB.2015.7139103
