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Mobile Contactless Palmprint Recognition: Use of Multiscale, Multimodel Embeddings
Most prior work focuses on extracting global features or local features alone for palmprint matching, whereas this research introduces a novel framework that combines global and local features for enhanced palmprint matching accuracy.
Child Palm-ID: Contactless Palmprint Recognition for Children
Using a contactless child palmprint database, Child-PalmDB1, consisting of 19, 158 images from 1, 020 unique palms (in the age range of 6 mos.
Child PalmID: Contactless Palmprint Recognition
Developing and least developed countries face the dire challenge of ensuring that each child in their country receives required doses of vaccination, adequate nutrition and proper medication.
Learning an Ensemble of Deep Fingerprint Representations
While learning an ensemble of representations can mitigate this problem, two critical challenges need to be addressed: (i) How to extract multiple diverse representations from the same fingerprint image?
On Demographic Bias in Fingerprint Recognition
Fingerprint recognition systems have been deployed globally in numerous applications including personal devices, forensics, law enforcement, banking, and national identity systems.
