A Fingerprint Recognition Algorithm Based on Principal Component Analysis

Abstract

While most of current Automatic Fingerprint Identification Systems (AFIS) are using fingerprint minutiae in the matching process, this paper introduces a fingerprint recognition algorithm based on statistics. Firstly, it uses Principal Component Analysis (PCA) to extract statistical feature of the fingerprint using a vector to describe the fingerprint; secondly, a novel approach is employed to segment region of interest.