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Finger vein recognition has been identified as a stable biometrics technique that has many advantages as compared to other techniques. The biggest challenge that is faced while using this technique is to make the features rotarionally invariant. In this paper, local binary pattern variance (LBPV) is proposed to address this challenge and to characterize the local contrast information into the one-dimensional...
A novel infrared face recognition method using blood perfusion conversion and DCT is proposed in this paper. Firstly, the blood perfusion image instead of thermal image is used to get the stable biological features. Secondly, due to the low-resolution of the infrared images, the feature extraction method (Linear Discriminative Analysis in DCT domain) is chosen to get the principle features in the...
In this paper, a fast infrared face recognition method using blood perfusion conversion and curvelet transformation is proposed. Firstly, to get the good performance of infrared face recognition from the biological feature, thermal images are converted into blood perfusion domain by blood perfusion model. Secondly, curvelet transform has better directional and edge representation abilities than widely...
A novel method for infrared face recognition based on blood perfusion and sub-block DCT in wavelet domain is proposed in this paper. Firstly, thermal images are converted into blood perfusion domain by blood perfusion model to obtain consistent facial images to reduce the effect of ambient variations. Secondly blood perfusion data are decomposed using discrete wavelet transform. Then, the component...
A palmprint image contains abundant features, such as the ridges, lines and textures, etc. Different features reflect the different characteristic of the palmprint. Fusion of multiple palmprint features may enhance the performance of a palmprint authentication system. In this paper, we investigate the fusion of two novel palmprint representations: orientationCode and diffCode. OrientationCode are...
This paper presents a novel approach for palmprint recognition based on the valley features. This approach uses the Bothat operation to extract the valleys from a very low-resolution palm image in different directions to form the valley feature, and then defines a matching score to measure the similarity of the valley features. The experimental results shows that the proposed approach can effectively...
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