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公开(公告)号：US20190180069A1
公开(公告)日：2019-06-13
申请号：US16270395
申请日：2019-02-07
Applicant: InvenSense, Inc.
Inventor： Sina AKHBARI , Bruno FLAMENT , Daniela HALL , Romain FAYOLLE , Etienne DeForas , Harihar NARASIMHA-IYER
Abstract: In a method for modeling a darkfield candidate image at a sensor, a plurality of darkfield images of the sensor is captured, wherein each darkfield image of the plurality of darkfield images is associated with a different operational condition of the sensor. An operational condition of the sensor is determined. A darkfield candidate image comprising a combination of the plurality of darkfield images is modeled based at least in part on the operational condition of the sensor, wherein a contribution of each darkfield image of the plurality of darkfield images is dependent on the operational condition.
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公开(公告)号：US10997388B2
公开(公告)日：2021-05-04
申请号：US16270480
申请日：2019-02-07
Applicant: InvenSense, Inc.
Inventor： Daniela Hall , Bruno Flament , Jonathan Baudot , Etienne DeForas , Harihar Narasimha-Iyer
Abstract: In a method for evaluating a darkfield image for contamination, it is determined whether an object is interacting with a fingerprint sensor. Provided an object is not interacting with the fingerprint sensor, a darkfield candidate image is captured at a fingerprint sensor. The darkfield candidate image is evaluated for contamination. Based on the evaluating, it is determined whether the darkfield candidate image includes contamination.
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公开(公告)号：US10984209B2
公开(公告)日：2021-04-20
申请号：US16270395
申请日：2019-02-07
Applicant: InvenSense, Inc.
Inventor： Sina Akhbari , Bruno Flament , Daniela Hall , Romain Fayolle , Etienne DeForas , Harihar Narasimha-Iyer
Abstract: In a method for modeling a darkfield candidate image at a sensor, a plurality of darkfield images of the sensor is captured, wherein each darkfield image of the plurality of darkfield images is associated with a different operational condition of the sensor. An operational condition of the sensor is determined. A darkfield candidate image comprising a combination of the plurality of darkfield images is modeled based at least in part on the operational condition of the sensor, wherein a contribution of each darkfield image of the plurality of darkfield images is dependent on the operational condition.
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公开(公告)号：US20190188442A1
公开(公告)日：2019-06-20
申请号：US16270516
申请日：2019-02-07
Applicant: InvenSense, Inc.
Inventor： Bruno FLAMENT , Daniela HALL , Etienne DeForas , Harihar NARASIMHA-IYER , Romain FAYOLLE , Jonathan BAUDOT , Abbas ATAYA , Sina AKHBARI
CPC classification number: G06K9/0002 , G06K9/00087 , G06T5/002 , G06T7/0002 , G06T2207/20221 , G06T2207/30168 , G06T2207/30196
Abstract: In a method for correcting a fingerprint image, it is determined whether an object is interacting with the fingerprint sensor. Provided an object is not interacting with the fingerprint sensor, it is determined whether to capture a darkfield candidate image at the fingerprint sensor, wherein the darkfield candidate image is an image absent an object interacting with the fingerprint sensor. Responsive to making a determination to capture the darkfield candidate image, the darkfield candidate image is captured at the fingerprint sensor. Provided an object is interacting with the fingerprint sensor, it is determined whether to model a darkfield candidate image at the fingerprint sensor. Responsive to making a determination to model the darkfield candidate image, the darkfield candidate image is modeled at the fingerprint sensor. A darkfield estimate is updated with the darkfield candidate image. A fingerprint image is captured at the fingerprint sensor. The fingerprint image is corrected using the darkfield estimate.
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