Three-Dimensional Finger Vein Recognition: A Novel Mirror-Based Imaging Device.

Area of Science:

• Biometrics
• Computer Vision
• Pattern Recognition

Background:

• Finger vein recognition is a key biometric trait, but current systems struggle with low-contrast images and artifacts.
• Existing multi-perspective systems can be complex and costly, often relying on multiple cameras.
• Problems like finger misplacement and rotation remain challenges for current finger vein recognition technologies.

Purpose of the Study:

• To present a novel multi-perspective finger vein capturing device.
• To overcome limitations of existing multi-perspective finger vein recognition systems.
• To improve the accuracy and usability of finger vein biometrics.

Main Methods:

• Developed a new multi-perspective finger vein capturing device utilizing mirrors.
• Employed a single camera and illumination module with strategically placed mirrors.
• Captured finger vein patterns at various rotational angles.
• Reviewed the state-of-the-art in multi-perspective finger vein recognition.

Main Results:

• The novel device captures multi-perspective finger vein images using a single camera and mirrors.
• This mirror-based approach offers a potentially more cost-effective and simpler solution compared to multi-camera systems.
• Identified shortcomings in current multi-perspective finger vein recognition devices.

Conclusions:

• The proposed mirror-based device offers a promising advancement in multi-perspective finger vein recognition.
• This technology has the potential to enhance the robustness and accuracy of biometric systems.
• Further research can build upon this novel capturing device to refine finger vein recognition.