Fingerprint Recognition Using Minutiae Matching

Muhammad Hanis, Hamzah (2014) Fingerprint Recognition Using Minutiae Matching. Project Report. UTeM, Melaka, Malaysia. (Submitted)

Text (24 pages) Fingerprint Recognition Using Minutiae Matching 24 Pages.pdf - Submitted Version Download (811kB)

Abstract

This project is to create and design a fingerprint recognition using minutiae matching with high percentage of detection. Fingerprint recognition is one of the most challenging tasks in biometrics identification due to the fact that the fingerprint are easy to obtain and most importantly it is reliable. A number of pattern recognition methods have been used to perform fingerprint matching. One such method fingerprint matching based on the minutiae features is the researched problems. So effectively fingerprint matching algorithm based on feature extraction and minutiae matching. The analysis of fingerprints for minutiae matching purposes generally requires the comparison of several features of the print pattern. These include patterns, which are combined characteristics of ridge termination, bifurcation, independent ridge, dot, spur and crossover, which are unique features found within the pattern. Some studies show minutia is the main feature of fingerprint identification where they calculate the minutia of each fingerprint manually. In my project, I will analyze the minutia by using created software in Matlab which is the error can be reduced. In the end of the project, it can be concluded that the minutia matching is the best way in identify a fingerprint and pre-processing image is needed in making the image more clear and the ridges and furrow can be differentiate easily.

Actions (login required)

View Item