Mobile Contactless Palmprint Recognition: Use of Multiscale, Multimodel Embeddings
Contactless palmprints are comprised of both global and local discriminative features. Most prior work focuses on extracting global features or local ...
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Find all the Top AIPublic Safety & Security papers. Links to pdf, code repos and demos are provided.
Contactless palmprints are comprised of both global and local discriminative features. Most prior work focuses on extracting global features or local ...
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This document presents a preliminary approach to latent fingerprint enhancement, fundamentally designed around a mixed Unet architecture. It combines ...
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Forensic science heavily relies on analyzing latent fingerprints, which are crucial for criminal investigations. However, various challenges, such as ...
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A secure fingerprint recognition system must contain both a presentation attack (i.e., spoof) detection and recognition module in order to protect use...
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One of the most challenging problems in fingerprint recognition continues to be establishing the identity of a suspect associated with partial and smu...
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Matching contactless fingerprints or finger photos to contact-based fingerprint impressions has received increased attention in the wake of COVID-19 d...
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Latent fingerprint recognition is not a new topic but it has attracted a lot of attention from researchers in both academia and industry over the past...
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Presents a longitudinal study assessing the performance of face recognition technologies specifically for children aged 2 to 18 years, utilizing a new...
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Presents a method for clustering millions of unlabeled face images by identity, addressing scalability and accuracy challenges in this large-scale pro...
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Introduces a Deep Multi-Task Learning (DMTL) approach for jointly estimating heterogeneous face attributes from single images. It addresses the limita...
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Fingerprint recognition systems have been deployed globally in numerous applications including personal devices, forensics, law enforcement, banking, ...
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Person re-identification aims at matching pedestrians observed from
non-overlapping camera views. Feature descriptor and metric learning are two
signi...
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