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In addition, there are many non vein pixels in the vein image and those pixels are unmeaning for vein recognition.
It is believed what has been proposed can improve the accuracy by 3D vein image, reduce the influence of hand positon and pose in vein recognition and be more applicable to wearable devices.
This paper presents a novel structural design of a biometric recognition sensor based on wrist vein, comprised by an array of NIR light source, a charge-coupled device (CCD) and a circle frame for a moving camera, to obtain the 3D vein image for security identification in mobile environment.
The fusion finger vein image is blended by Eq. (12), which is shown in Fig. 16.
The similar problems mentioned above are also appeared in the finger vein image capturing processes [13 18].
Thus, it is necessary to normalize the illumination in the vein image capture before storing them in the biometric information storages or databases.
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This paper presents a single transmitting model of finger vein imaging in Biometric system and use it for fuse the multi-light-intensity finger vein images to one image, which integrates the vein pattern information of each source image and keeps the complete vein pattern information.
An infrared transmitting model from the observed finger vein images is proposed in this paper by using multi-light-intensity imaging.
A total of 5120 palm vein images from 256 persons are used to verify the validity of the proposed palm vein recognition approach.
The acquisition system gets the hand vein images with low resolution and the proposed algorithm can perform very well for low-resolution images.
The experimental results show that the ROI images can be successfully and effectively extracted from different hand vein images, and the proposed algorithm can achieve high recognition accuracies.
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