Real time ridge orientation estimation for fingerprint images

TL;DR

This paper presents a hardware-based, real-time method for estimating ridge orientation in fingerprint images, enabling faster biometric verification by reducing computational complexity.

Contribution

It introduces a pipelined hardware architecture for fingerprint ridge orientation estimation, improving speed and efficiency over existing software-based methods.

Findings

Hardware implementation achieves real-time processing

Synthesized circuits validate accuracy and functionality

Method reduces computational load for fingerprint verification

Abstract

Fingerprint verification is an important bio-metric technique for personal identification. Most of the automatic verification systems are based on matching of fingerprint minutiae. Extraction of minutiae is an essential process which requires estimation of orientation of the lines in an image. Most of the existing methods involve intense mathematical computations and hence are performed through software means. In this paper a hardware scheme to perform real time orientation estimation is presented which is based on pipelined architecture. Synthesized circuits proved the functionality and accuracy of the suggested method.