Abstract: An apparatus and method for obtaining a biometric image is disclosed, which may comprise: providing a biometric image sensor which may comprise one of a one dimensional swiped sensor array, a two dimensional swiped sensor array and a two dimensional placement sensor array, each of which may comprise a capacitive gap sensor measuring a change in a transmitted signal received as a received signal, based upon changes in the transmitted signal passing through a biometric, the biometric image sensor may be one of mounted on a host device or cooperating with the host device; providing a biometric placement positioning prompt on a display on the host device, which prompt may indicate whether a current positioning of the biometric is proper for initiating biometric imaging by the biometric image sensor, e.g., indicating a current positioning of the biometric and the desired positioning of the biometric.

Abstract: An apparatus and method for obtaining a biometric image is disclosed, which may comprise: providing a biometric image sensor which may comprise one of a one dimensional swiped sensor array, a two dimensional swiped sensor array and a two dimensional placement sensor array, each of which may comprise a capacitive gap sensor measuring a change in a transmitted signal received as a received signal, based upon changes in the transmitted signal passing through a biometric, the biometric image sensor may be one of mounted on a host device or cooperating with the host device; providing a biometric placement positioning prompt on a display on the host device, which prompt may indicate whether a current positioning of the biometric is proper for initiating biometric imaging by the biometric image sensor, e.g., indicating a current positioning of the biometric and the desired positioning of the biometric.

Abstract: Enhanced accuracy finger position and motion sensors devices, algorithms, and methods are disclosed that can be used in a variety of different applications. The sensors can be used in conjunction with partial fingerprint imagers to produce improved fingerprint scanners. Such improved scanners can use image analysis techniques, such as interpolation between partial fingerprint images to correct for missing data, or discarding redundant partial fingerprint image data, to produce adequate fingerprint images even when the finger has not been applied to the sensor using an optimum technique.

Abstract: An apparatus and a method for centralized notification management in a mobile terminal are provided. The apparatus includes a communication unit for receiving notification data from an external device, at least one application, each application having a notification function for notifying a user when corresponding notification data is received, a display unit, a notification management unit for generating a user interface for managing the notifications of the at least one application, and for generating notification settings for each of the at least application settings, according to user input, a storage unit for storing the notification settings generated by the notification management unit, and a controller for controlling the display unit to display the user interface generated by the notification management unit and for controlling the mobile terminal to generate a notification in response to receiving the notification data, the notification generated according to the stored notification settings.

Abstract: A fingerprint analysis method for partial fingerprint scanners that has an improved ability to resolve fingerprints from the tips of fingers, as well as an improved ability to cope with suboptimal finger swipes. The method uses various extrapolation methods to more accurately determine the position of a scanned fingertip is as the tip of the finger passes a partial fingerprint scanner. The method also monitors the image characteristics of the partial fingerprint image returned by the partial fingerprint scanner, and uses these image characteristics to determine exactly where the image of the fingertip itself is lost, and imaging of non-fingerprint data begins. By combining the most probable fingertip position as a function of time data obtained from extrapolated finger motion data, with image analyzed fingerprint images more precisely determined to be near the fingertip edges, superior fingerprint images extending closer to the edge of the fingerprint may be obtained.

Abstract: Enhanced accuracy finger position and motion sensors devices, algorithms, and methods are disclosed that can be used in a variety of different applications. The sensors can be used in conjunction with partial fingerprint imagers to produce improved fingerprint scanners. The finger motion sensors may also be used (either with or without a partial fingerprint imager) to control electronic devices. When several of these finger motion and position sensors are aligned in different directions, finger motion over a two dimensional surface may be detected. This creates a finger controlled “mouse” computer input device. Motion of a finger along the surface of such sensors may allow a user to control the movement of an indicator on a display screen, and control a microprocessor device. Such techniques are particularly useful for small space constrained devices, such as cell phones, smart cards, music players, portable computers, personal digital accessories, and the like.

Abstract: Enhanced accuracy finger position and motion sensors devices, algorithms, and methods are disclosed that can be used in a variety of different applications. The sensors can be used in conjunction with partial fingerprint imagers to produce improved fingerprint scanners. Such improved scanners can use image analysis techniques, such as interpolation between partial fingerprint images to correct for missing data, or discarding redundant partial fingerprint image data, to produce adequate fingerprint images even when the finger has not been applied to the sensor using an optimum technique.

Abstract: Enhanced accuracy finger position and motion sensors devices, algorithms, and methods are disclosed that can be used in a variety of different applications. The sensors can be used in conjunction with partial fingerprint imagers to produce improved fingerprint scanners. The finger motion sensors may also be used (either with or without a partial fingerprint imager) to produce highly accurate fingerprint images as well as to control electronic devices. Here improved signal analysis algorithms and methods are disclosed that enable finger position to be determined with higher levels of accuracy as the finger is swiped over finger position sensing arrays. These algorithms are particularly useful for deep finger penetrating radio frequency (RF) based sensing arrays.

Abstract: A method and device for removing common artifacts, such as stiction, from fingerprint scans created by partial fingerprint scanners. The partial fingerprint scanner data is assessed to determine if successive partial fingerprint images are overly similar to each other, which can occur during stiction. If this similarity exceeds a preset threshold, then at least some of the overly similar partial images will be removed (redacted) from the overall image dataset. The complete overall image is generated from the redacted data set. This method is particularly useful for creating “intelligent” low-cost, low power partial fingerprint scanners and scanner driver chips that can pre-process the partial fingerprint data that is generated during the course of a finger swipe, and remove stiction artifacts on a real-time or near-real time basis using relatively simple and low power on-chip processing circuits, and then send the corrected data to more sophisticated processors for subsequent fingerprint analysis.

Abstract: Enhanced accuracy finger position and motion sensors devices, algorithms, and methods are disclosed that can be used in a variety of different applications. The sensors can be used in conjunction with partial fingerprint imagers to produce improved fingerprint scanners. Such improved scanners can use image analysis techniques, such as interpolation between partial fingerprint images to correct for missing data, or discarding redundant partial fingerprint image data, to produce adequate fingerprint images even when the finger has not been applied to the sensor using an optimum technique.

Abstract: A fingerprint analysis method for partial fingerprint scanners that has an improved ability to resolve fingerprints from the tips of fingers, as well as an improved ability to cope with suboptimal finger swipes. The method uses various extrapolation methods to more accurately determine the position of a scanned fingertip is as the tip of the finger passes a partial fingerprint scanner. The method also monitors the image characteristics of the partial fingerprint image returned by the partial fingerprint scanner, and uses these image characteristics to determine exactly where the image of the fingertip itself is lost, and imaging of non-fingerprint data begins. By combining the most probable fingertip position as a function of time data obtained from extrapolated finger motion data, with image analyzed fingerprint images more precisely determined to be near the fingertip edges, superior fingerprint images extending closer to the edge of the fingerprint may be obtained.

Abstract: A method and device for removing common artifacts, such as stiction, from fingerprint scans created by partial fingerprint scanners. The partial fingerprint scanner data is assessed to determine if successive partial fingerprint images are overly similar to each other, which can occur during stiction. If this similarity exceeds a preset threshold, then at least some of the overly similar partial images will be removed (redacted) from the overall image dataset. The complete overall image is generated from the redacted data set. This method is particularly useful for creating “intelligent” low-cost, low power partial fingerprint scanners and scanner driver chips that can pre-process the partial fingerprint data that is generated during the course of a finger swipe, and remove stiction artifacts on a real-time or near-real time basis using relatively simple and low power on-chip processing circuits, and then send the corrected data to more sophisticated processors for subsequent fingerprint analysis.

Abstract: Enhanced accuracy finger position and motion sensors devices, algorithms, and methods are disclosed that can be used in a variety of different applications. The sensors can be used in conjunction with partial fingerprint imagers to produce improved fingerprint scanners. The finger motion sensors may also be used (either with or without a partial fingerprint imager) to control electronic devices. When several of these finger motion and position sensors are aligned in different directions, finger motion over a two dimensional surface may be detected. This creates a finger controlled “mouse” computer input device. Motion of a finger along the surface of such sensors may allow a user to control the movement of an indicator on a display screen, and control a microprocessor device. Such techniques are particularly useful for small space constrained devices, such as cell phones, smart cards, music players, portable computers, personal digital accessories, and the like.

Abstract: Enhanced accuracy finger position and motion sensors devices, algorithms, and methods are disclosed that can be used in a variety of different applications. The sensors can be used in conjunction with partial fingerprint imagers to produce improved fingerprint scanners. The finger motion sensors may also be used (either with or without a partial fingerprint imager) to produce highly accurate fingerprint images as well as to control electronic devices. Here improved signal analysis algorithms and methods are disclosed that enable finger position to be determined with higher levels of accuracy as the finger is swiped over finger position sensing arrays. These algorithms are particularly useful for deep finger penetrating radio frequency (RF) based sensing arrays.

Abstract: Enhanced accuracy finger position and motion sensors devices, algorithms, and methods are disclosed that can be used in a variety of different applications. The sensors can be used in conjunction with partial fingerprint imagers to produce improved fingerprint scanners. Such improved scanners can use image analysis techniques, such as interpolation between partial fingerprint images to correct for missing data, or discarding redundant partial fingerprint image data, to produce adequate fingerprint images even when the finger has not been applied to the sensor using an optimum technique.