Blood Vessel Recognition for Biometrics

I developed an algorithm for blood vessel recognition from contactless IR scans of a finger. This was a part of AETC’s contactless biometrics project series. AETC’s efforts were motivated by several weaknesses in traditional biometrics security applications. First, fingerprint matrix gets distorted during contacts with a scanner that deteriorates the recognition accuracy. Additionally, a single-mode fingerprint recognition can be spoofed with fingerprint replicas extracted from pictures. Previous generations of students at AETC have built a contactless fingerprint and finger vein IR scanner rig. My role was to develop an algorithm to extract finger vein patterns from IR images for further processing and recognition. Details of the work can be found in “Multi-Mode Biometrics for Law Enforcement Operations” publication.

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