A Fingerprint-based Access Control using Principal Component Analysis and Edge Detection

Ernande F. Melo, H. M. de Oliveira

DOI: 10.14209/sbrt.2010.63

Evento: VII International Telecommunications Symposium (ITS2010)

Keywords: Fingerprints PCA Edge Detection Euclidean and Mahalanobian distances ROC

Abstract

This paper presents a novel approach for deciding on the appropriateness or not of an acquired fingerprint image into a given database. The process begins with the assembly of a training base in an image space constructed by combining Principal Component Analysis (PCA) and edge detection. Then, the parameter value (H) – a new feature that helps in the decision making about the relevance of a fingerprint image in databases – is derived from a relationship between Euclidean and Mahalanobian distances. This procedure ends with the lifting of the curve of the Receiver Operating Characteristic (ROC), where the thresholds defined on the parameter H are chosen according to the acceptable rates of false positives and false negatives.

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