Geometric framework for fingerprint image classification

摘要

Given a digitized fingerprint image, we would like to classify it into one of several types already established in the literature. In this paper, we consider five types for classification: double loop, whorl, left loop, right loop, and arch. We illustrate the use of a geometric framework for a systematic top-down classification of the foregoing types. From the double-loop type down to the arch type in the order given above, the framework employs both a geometric grouping and a global geometric shape analysis of fingerprint ridges to accomplish the required task. These processes are based on the framework's underlying B-spline representation and interpretation of the ridges.