Combined Fully Contactless Finger and Hand Vein Capturing Device with a Corresponding Dataset

Area of Science:

• Biometrics
• Image Acquisition
• Pattern Recognition

Background:

• Vascular pattern biometrics, especially contactless methods, are increasingly important.
• High-quality datasets are crucial for advancing vascular pattern recognition research.
• Existing datasets may be limited, necessitating new data acquisition methods.

Purpose of the Study:

• To propose and detail a novel contactless capturing device for vascular pattern biometrics.
• To enable acquisition of both finger and hand vein images using distinct lighting techniques.
• To introduce a new, publicly available dataset for contactless vein recognition research.

Main Methods:

• Designed a novel contactless capturing device with detailed technical specifications.
• Implemented light transmission for palmar finger vein imaging.
• Utilized reflected light for palmar hand vein imaging.

Main Results:

• Experimental evaluation confirmed the device's capability for high-quality image acquisition.
• Recognition performance using established schemes on the acquired dataset was competitive.
• The developed dataset is among the first publicly available contactless finger and hand vein datasets.

Conclusions:

• The proposed contactless capturing device is effective for finger and hand vein image acquisition.
• The device facilitates good image quality and supports competitive biometric recognition performance.
• The release of this dataset will significantly aid future research in contactless vascular biometrics.