This publication describes methods, techniques, and apparatuses that can achieve spoof detection in fingerprint sensors by confirming that a person is present and authorized to gain access to a mobile device, door entrance, vault, application software, physical locations, and/or or virtual activities that the person wants guarded. To do so, machine-learned models may be used to match at least one of a fingerprint residual on the glass covering the fingerprint sensor to a live fingerprint, a fingerprint coloration due to the hemodynamics of the pad of the finger, or a distortion pattern of the fingerprint due to the rotation of the finger.
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Sammoura, Firas and Bussat, Jean-Marie, "Spoof Detection for Fingerprint Sensors", Technical Disclosure Commons, (November 05, 2019)