ISO/IEC 19794-2 compliant fingerprint minutiae template is an unordered and variable-size point set data. Such characteristic leads to restriction to the applications that can only operate on the ordered fixed-length bit-string, such as cryptographic protocols and biometric cryptosystem scheme like fuzzy commitment and fuzzy extractor operating in hamming domain. In this paper, we propose a discriminative fixed-length binary representation converted from fingerprint minutia based on Kernelized Locality-Sensitive Hashing (KLSH), which enables speedy matching. The proposed method includes four steps: minutiae descriptor extraction; Kernelized Locality-Sensitive Hashing for fixed length vector generation; dynamic feature binarization and matching. Experimental results on FVC2002 databases justify the feasibility of the proposed template in terms of matching accuracy and template randomness.
|Title of host publication||Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||6|
|Publication status||Published - 2015 Nov 20|
|Event||10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015 - Auckland, New Zealand|
Duration: 2015 Jun 15 → 2015 Jun 17
|Name||Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015|
|Other||10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015|
|Period||15/6/15 → 15/6/17|
Bibliographical notePublisher Copyright:
© 2015 IEEE.
All Science Journal Classification (ASJC) codes
- Industrial and Manufacturing Engineering
- Electrical and Electronic Engineering