On-Line Fingerprint Verification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fingerprint Matching Using Transformation Parameter Clustering
IEEE Computational Science & Engineering
Handbook of Fingerprint Recognition
Handbook of Fingerprint Recognition
A Fingerprint Matching Using Minutia Ridge Shape for Low Cost Match-on-Card Systems
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Fingerprint Matching Based on Global Comprehensive Similarity
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fingerprint matching using ridges
Pattern Recognition
Combining minutiae descriptors for fingerprint matching
Pattern Recognition
Fingerprint Matching Based on Neighboring Information and Penalized Logistic Regression
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
An asymmetric fingerprint matching algorithm for java cardTM
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
A hardware implementation for fingerprint retrieval
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Hi-index | 0.00 |
On-card biometric comparison is getting more attention from government and the IT industry because of the higher level of security and its ability to prevent the enrolment template from leakage that can cause privacy concern. To address the interoperability needs, the ISO/IEC SC17 WG11 published a standard entitled ISO/IEC 24787 - 'On-card biometric comparison'. This paper will give an introduction to this new standard and analyse the limitation of implementing minutiae matching algorithm using this standard on low-cost smartcard. We will present a novel algorithm to perform off-card template alignment using the work-sharing mechanism. The final matching process is executed on-card to ensure that the security is not compromised. The average verification time of our proposed algorithm is about 2.5 seconds with an 8-bit Java card with an average EER <= 4.3% using FVC2000 and FVC2002 databases. Hence, the performance is comparable to those minutiae matching algorithms running on PC.