Xirong Lin

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Liveness detection is a necessary step towards higher reliability of iris recognition. In this research, we propose a novel iris liveness detection method based on multi-features extracted from multispectral images. First, we analyze the specific multispectral characteristics of conjunctival vessels and iris textures. To ensure the effective utilization of(More)
A new auto focus method which is based on dispersion circle is proposed in an iris acquisition system. Combining with lattice infrared source and reliable coarse pupil location algorithm, the introduced method not only has good performance in unimodality and sensitivity, but also has obvious advantage in real-time processing. The average single image(More)
Ridges, compared with other features extracted from palmprints, contain plentiful key traits that can be used for personal verification. This paper proposes a palmprint matching method based on ridges’ orientation and frequency information. With an optical acquisition device, high-resolution palmprint images can be employed to our palmprint verification(More)
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