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As an emerging biometric for people identification, the dorsal hand vein has received increasing attention in recent years due to the properties of being universal, unique, permanent, and contactless, and especially its simplicity of liveness detection and difficulty of forging. However, the dorsal hand vein is usually captured by near-infrared (NIR) sensors and the resulting image is of low contrast...
Recently, SIFT-like approaches have shown their advantages of performance and robustness in dorsal hand vein recognition. This paper presents a novel method to recognize the vein pattern of the dorsal hand, which discusses two important issues in the SIFT-like framework, i.e. keypoint detection and matching. For the former, a Gaussian Distribution based Random Keypoint Generation method (GDRKG) is...
As a new biometric for person authentication, hand-dorsa vein has attracted increasing attention in recent years. This paper proposes a novel approach for hand-dorsa vein recognition, which makes use of multi-level keypoint detection and SIFT feature based local matching. In order to overcome the difficulty in finding local features on NIR images of hand dorsa, a multi-level keypoint detection approach,...
Searching interesting regions in aerial video is a new and challenging problem. This paper presents an approach to detect visual interesting regions in aerial video using pLSA topic model. Traditional interesting region detection approaches just use bottom-up information, such as color, orientation and movement etc. Our proposed method can discover the semantic content of the whole image, the co-occurrence...
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