Biometric sensing
An novel sensor is provided having a plurality of substantially parallel drive lines configured to transmit a signal into a surface of a proximally located object, and also a plurality of substantially parallel pickup lines oriented proximate the drive lines and electrically separated from the pickup lines to form intrinsic electrode pairs that are impedance sensitive at each of the drive and pickup proximal locations.
1. A method of tracking a finger on a dual grid sensor comprising a plurality of intersecting grid lines configured and arranged to define a matrix of pixel clusters, wherein adjacent pixels within each pixel cluster are more closely spaced than adjacent pixels in different pixel clusters, said method comprising:
(a) activating all pixels in a cluster simultaneously and taking a single measurement to determine if the cluster is covered by apportion of a finger;
(b) repeating step (a) for all clusters;
(c) repeating step (a) and then step (b) at at least two different instances;
(d) from the measurements taken in steps (a) through (c), determining if the absolute position of the finger has changed between the at least two instances;
(e) outputting a new absolute finger position in response to a determination in step (d) that the finger has changed absolute position;
(f) taking a measurement with each pixel of at least one cluster covered by the finger at at least two different instances in response to a determination in step (d) that the finger has not changed absolute position; and
(g) identifying a fine movement of the finger based on the measurements taken in step (f).
2. The method of claim 1 , where step (f) comprises taking a measurement with each pixel of more than one cluster covered by the finger at at least two different instances.
3. The method of claim 1 , wherein step (g) comprises identifying fine movement based on detected changes in positions of fingerprint features from the measurements taken in step (f).
4. The method of claim 1 , wherein step (g) comprises:
sequentially repositioning each of two images taken with a cluster of pixels at two different instances with respect to each other so that at each repositioning, different pixels and different numbers of pixels of the two images overlap;
determining the number of pixels that overlap at each repositioning;
of the pixels that overlap at each repositioning, identifying pixels in the two images that match one another and determining the total number of matching pixels at each repositioning; and
deriving a match score for each repositioning by dividing the total number of matching pixels by the total number of overlapping pixels for each repositioning.