Qualcomm Incorporated

Japan Display Inc.

Adithya Naresh

Richard Stacy Withers

David Johnson

Kevin Johnson

Mark Bisbee

Rizwan Muhammad Khan Afridi

Ronald Scott Lee

A method of training a fingerprint image enhancing engine for use in a fingerprint capturing device, and a corresponding apparatus and computer readable medium, include producing a synthetic image dataset comprising plural pairs of synthetic images. Each pair of synthetic images include a clean synthetic image and a raw synthetic image corresponding to the clean synthetic image. Each raw synthetic image is produced according to a model of the fingerprint capturing device. The method also includes training a neural network using the synthetic image dataset.

Method and apparatus for developing a fingerprint recognition apparatus

Certain aspects of the present disclosure generally relate to a touch panel. The touch panel may include a cover layer, of a plurality of layers, configured to receive a touch force applied to the touch panel. The touch panel may include a force determination set of layers, of the plurality of layers, to determine a magnitude of the touch force applied to the touch panel. The force determination set of layers may include a piezoelectric layer with a set of force determination pixels. The set of force determination pixels may be arranged in a matrix to address the set of force determination pixels. A force determination pixel may be configured to generate a charge for determining a location of the touch force applied to the touch panel and a magnitude of the touch force applied to the touch panel.

Apparatus for piezoelectric force detection

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Hayward, CA, United States of America

Adithya Naresh