Abstract

This article describes the computer system developed for the detection of minutiae in fingerprints images. The system described can perform automatic and manual extraction of important data from the fingerprints images, storing that information in the internal database. The statistical calculations, including calculations for cumulative frequency analysis, generated by the system are very important for calculating distinction rates. The system is also capable to differentiate by male or female gender, finger, fingerprint type and sector that has been divided the fingerprint.

Highlights

  • The main objective is developing a comprehensive management system for fingerprints digitalized images and minutiae, extracting the minutiae automatically and providing functionality to system users to make manual corrections at any time

  • The minutiae of the fingerprint image are located by determining the number of ridges that are crossed by an imaginary line that connects each minutia and fingerprint center and by a Cartesian grid that can generate a variable size environment defined by the user

  • The system for management and minutiae recognition has been implemented as an application that lets the user interact with digital images of fingerprints of different formats, including WSQ format designed by the FBI, which is a compressed format specially dedicated for fingerprints

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Summary

Introduction

The main objective is developing a comprehensive management system for fingerprints digitalized images and minutiae, extracting the minutiae automatically and providing functionality to system users to make manual corrections at any time. All these operations will be recorded in the system database, which will compile the information of the minutiae and fingerprints for subsequent statistical analysis. The second objective is to seek a complementary method for fingerprint identification by the automatic calculation of frequencies of the characteristic points. The minutiae of the fingerprint image are located by determining the number of ridges that are crossed by an imaginary line that connects each minutia and fingerprint center and by a Cartesian grid that can generate a variable size environment defined by the user

System Description
Processing Digital Images of Fingerprints
Extraction of Minutiae in Fingerprints Images
Generation of Statistics
Conclusions and Lines of Future Work
Full Text
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