Panasonic, academic researchers say data partitioning can reduce face biometrics bias

Two Panasonic divisions and a Singapore university have developed a way to train face biometrics algorithms that they say improves the performance of facial recognition for demographic groups represented by less training data, EE Times Asia reports.

The partner organizations are Panasonic Connect Co. Ltd, Panasonic R&D Center Singapore (Singapore Research Institute) and Singapore’s Nanyang Technological University (NTU).

A paper on the face biometrics training method, which they call “Invariant Feature Regularization for Fair Face Recognition,” has been …

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