Abstract: In a method for generating an estimated fingerprint image, a ridge/valley pattern of a fingerprint of a finger is received. A sensor image including a partial fingerprint of the finger is received. Ridge/valley characteristics of the fingerprint are extracted from the sensor image including the partial fingerprint. An estimated fingerprint image is generated based at least on the ridge/valley pattern of the fingerprint and the ridge/valley characteristics of the fingerprint.

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.

Abstract: In a method for operating a fingerprint sensor including a plurality of ultrasonic transducers, receiving a plurality of images corresponding to different subsets of the ultrasonic transducers of the fingerprint sensor are received, wherein the plurality of images are non-adjacent. For each image of the plurality of images, it is determined whether the image of the plurality of images is indicative of a fingerprint. Provided a number of images of the plurality of images that are indicative of a fingerprint satisfies a threshold, it is determined whether the images of the plurality of images that are indicative of a fingerprint are collectively indicative of a fingerprint. Provided the plurality of images are collectively indicative of a fingerprint, it is determined that the plurality of images include a fingerprint.

Abstract: In a method for operating a fingerprint sensor including a plurality of ultrasonic transducers, receiving a plurality of images corresponding to different subsets of the ultrasonic transducers of the fingerprint sensor are received, wherein the plurality of images are non-adjacent. For each image of the plurality of images, it is determined whether the image of the plurality of images is indicative of a fingerprint. Provided a number of images of the plurality of images that are indicative of a fingerprint satisfies a threshold, it is determined whether the images of the plurality of images that are indicative of a fingerprint are collectively indicative of a fingerprint. Provided the plurality of images are collectively indicative of a fingerprint, it is determined that the plurality of images include a fingerprint.

Abstract: In a method for operating a fingerprint sensor including a plurality of ultrasonic transducers, receiving a plurality of images corresponding to different subsets of the ultrasonic transducers of the fingerprint sensor are received, wherein the plurality of images are non-adjacent. For each image of the plurality of images, it is determined whether the image of the plurality of images is indicative of a fingerprint. Provided a number of images of the plurality of images that are indicative of a fingerprint satisfies a threshold, it is determined whether the images of the plurality of images that are indicative of a fingerprint are collectively indicative of a fingerprint. Provided the plurality of images are collectively indicative of a fingerprint, it is determined that the plurality of images include a fingerprint.

Abstract: In a method for generating an estimated fingerprint image, a ridge/valley pattern of a fingerprint of a finger is received. A sensor image including a partial fingerprint of the finger is received. Ridge/valley characteristics of the fingerprint are extracted from the sensor image including the partial fingerprint. An estimated fingerprint image is generated based at least on the ridge/valley pattern of the fingerprint and the ridge/valley characteristics of the fingerprint.

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.

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.