Rapid, autonomous and ultra-large-area detection of latent fingerprints using object-driven optical coherence tomography
Bin He,
Yejiong Shi,
Zhenwen Sun
et al.
Abstract:The detection of latent fingerprints plays a crucial role in criminal investigations and biometrics. However, conventional techniques are limited by their lack of depth-resolved imaging, extensive area coverage, and autonomous fingerprint detection capabilities. This study introduces an object-driven optical coherence tomography (OD-OCT) to achieve rapid, autonomous and ultra-large-area detection of latent fingerprints. First, by utilizing sparse sampling with the robotic arm along the slow axis, we continuous… Show more
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