Determining an alignment estimation between two (fingerprint) images

DETAILED DESCRIPTION The invention is a system and method for estimating the values of alignment parameters (rotation angle and translation vector) between two two-dimensional images.
A first image has one or more first points and each of the first points located on a respective first curved line in the first image.
Likewise, one or more second images stored in the memory, has one or more second points and each of the second points located on a respective second curved line.
A first reference point selector is executed by the CPU and selects one of the first points and a first reference segment on the first curved line.
Similarly, a second reference point selector is executed by the CPU and selects one of the second points and a second reference segment on the second curved line.
The first reference segment is segmented into two or more first subsegments, each of the first subsegments ending at a respective first subsegment point.
Further, the first segmentor determines a first set of first segment relations between the first reference point and one or more of the first subsegment points.
In the same way, the second reference segment is segmented into two or more second subsegments, each of the second subsegments ending at a respective second subsegment point.
Also, the second segmentor determines a second set of second segment relations between the second reference point and one or more of the second subsegment points.
If the first reference point and the second reference point are known to depict the same point in both the images, this invention describes a method for estimating the values of alignment parameters (rotation angle and translation vector) between two two-dimensional images based on the set of first segment relations and the set of second segment relations.