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Person Recognition System Based on a Combination of Body Images from Visible Light and Thermal Cameras
TLDR
The experimental results show that the proposed person recognition method using the information extracted from body images is efficient for enhancing recognition accuracy compared to systems that use only visible light or thermal images of the human body.
Finger vein recognition using minutia‐based alignment and local binary pattern‐based feature extraction
TLDR
A new finger vein recognition method using minutia‐based alignment and local binary pattern (LBP)‐based feature extraction, which reduces false rejection error and thus the equal error rate (EER) significantly.
Convolutional Neural Network-Based Finger-Vein Recognition Using NIR Image Sensors
TLDR
A finger-vein recognition method that is robust to various database types and environmental changes based on the convolutional neural network (CNN) is proposed and showed a better performance compared to the conventional methods.
Finger vein recognition using weighted local binary pattern code based on a support vector machine
TLDR
This research proposes a new identification method of finger vascular patterns using a weighted local binary pattern (LBP) and support vector machine (SVM) and shows that the equal error rate (EER) is significantly lower compared to that without the proposed method or using a conventional method.
Real-Time Image Restoration for Iris Recognition Systems
  • B. Kang, K. Park
  • Computer Science
    IEEE Transactions on Systems, Man, and…
  • 1 December 2007
TLDR
A new real-time iris image-restoration method, which can increase the camera's depth-of-field (DOF) areas without requiring any additional hardware and shows that iris recognition errors when using the proposed restoration method were greatly reduced.
Multimodal biometric method that combines veins, prints, and shape of a finger
TLDR
A new finger recognition method based on the score-level fusion of finger veins, fingerprints, and finger geometry features is proposed; its performance is better than the conventional Z-score normalization method and the equal error rate was lower than those of the other methods.
New iris recognition method for noisy iris images
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