In this paper, we propose a cancellable fingerprint template technique based on our previous work on multi-line code (MLC) (Wong et al., 2012). The modification and improvement focuses on the change of MLC values and the generation of binary MLC. In addition, an enhanced similarity measure is also proposed to compensate the loss in accuracy for binary MLC, called the dynamically weighted integrated Dice (DWID) similarity. Comprehensive experiments on three FVC datasets are carried out to compare the performance among different settings of MLC. The lowest equal error rate (EER) obtained in the stolen-key scenario is 1.93% for FVC2002 DB1. Besides, analysis on the revocability, non-reversibility and template size of the enhanced MLC have been presented.
All Science Journal Classification (ASJC) codes
- Signal Processing
- Computer Vision and Pattern Recognition
- Artificial Intelligence