Abstract: On-the-go fingerprint scanners and methods of capturing fingerprints on-the-go are disclosed. In some aspects, the on-the-go fingerprint scanner can include a scanning area and a beam break sensor disposed coincident to the scanning area such that the beam break sensor detects when an object passes through the scanning area. The scanner can also include at least one hand camera configured to capture a video image of the scanning area such that when the beam break sensor detects that an object has passed through the scanning area, the hand camera detects whether the object is a human hand and the location of any fingers on said hand, and at least one fingerprint camera configured to receive the location of any fingers within the scanning area from the hand camera and capture a high-resolution image of at least a portion of any of said fingers passing through the scanning area.

Abstract: On-the-go fingerprint scanners and methods of capturing fingerprints on-the-go are disclosed. In some aspects, the on-the-go fingerprint scanner can include a scanning area and a beam break sensor disposed coincident to the scanning area such that the beam break sensor detects when an object passes through the scanning area. The scanner can also include at least one hand camera configured to capture a video image of the scanning area such that when the beam break sensor detects that an object has passed through the scanning area, the hand camera detects whether the object is a human hand and the location of any fingers on said hand, and at least one fingerprint camera configured to receive the location of any fingers within the scanning area from the hand camera and capture a high-resolution image of at least a portion of any of said fingers passing through the scanning area.

Abstract: On-the-go fingerprint scanners and methods of capturing fingerprints on-the-go are disclosed. In some aspects, the on-the-go fingerprint scanner can include a scanning area and a beam break sensor disposed coincident to the scanning area such that the beam break sensor detects when an object passes through the scanning area. The scanner can also include at least one hand camera configured to capture a video image of the scanning area such that when the beam break sensor detects that an object has passed through the scanning area, the hand camera detects whether the object is a human hand and the location of any fingers on said hand, and at least one fingerprint camera configured to receive the location of any fingers within the scanning area from the hand camera and capture a high-resolution image of at least a portion of any of said fingers passing through the scanning area.

Abstract: Exemplary embodiments include an agile non-contact biometric sensor apparatus, having a sensor that monitors a field of view for a user, an imaging system that captures one or more pieces of biometric information from the user, and a pan-tilt device that orients the imaging system to a location of the user in the field of view detected by the sensor.

Abstract: Methods for using training images to define correlation strength surfaces about reference filters, permitting direct solution of position and orientation using images of a target object with only a few reference filters are disclosed. Correlations of selected reference filters with training images are used to develop expressions describing shapes of respective correlation surfaces at incremental changes relative to an aspect or range used for a filter. Correlations of target images with only a few reference filters may then be used to define target orientation and range in many real-world applications. A method for determining target object orientation and/or range based on interpolations, using results of correlations of a target image with composite filters having reduced sensitivities for different orientation axes, or range, is also disclosed. Techniques for using training images to create such composite filters are disclosed, as are extensions of methods to additional dimensions.