Shilei Liu

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—Finger-vein recognition as a non-contact biometric technique has its inherent superiority on accuracy, speed, sanitation, maintenance and security. However, we found that due to posture changes when acquiring finger images, the discrepancy between different images from the same finger greatly lowers the performance of the entire system. In this paper, we(More)
In this thesis, we develop tools and methods to assist in veriication of large software systems. In particular, we will apply the complete coverage principle to generate test cases automatically from tabular expressions used in software documentation. Multi-dimensional expressions called tables are used in software documentation so that formal documentation(More)
Finger vein verification has developed a lot since its first proposal, but there is still not a perfect algorithm. It is proved that algorithms with the same overall accuracy may have different misclassified patterns. We could make use of this complementation to fuse individual algorithms together for more precise result. According to our observation,(More)
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