Hi All,
HDIAC just published Artificial Intelligence (AI) and Machine Learning (ML) in Biometric Data Fusion
This State-of-the-Art Report focuses on recent
advances in biometric recognition technologies
and the application of artificial intelligence and
machine learning to recognition tasks in multimodal
identification systems. Multimodal systems
use "feature-level" data fusion (e.g., periocular
and gait recognition), which provides faster reference
set retrieval across identity templates and
significantly improves recognition accuracy over
a unimodal system. Specifically, the recent field
of biometric data fusion holds promise to deliver
improved biometric data sample capture and
analysis to the warfighter regardless of disguised,
altered, or occluded facial characteristics. The use
of convolutional neural networks, deep neural
networks, and recurrent neural networks in
biometric data fusion is also explained in this
report. In addition, topics in leading-edge biometric
recognition research are also presented.
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Michael Roza CPA, CISA, CIA, MBA, Exec MBA
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