Application of Adaptive Filter on Touchless Fingerpint Verification System Using Mathlab

Abstract

This work presents the application of adaptive filters on fingerprint verification system using mathlab. The aim of this work is to implement this proposed image processing technique (adaptive filter), which our research revealed is more reliable than the conventional linear filtering techniques to enhance the accuracy of the existing system. The work employed other processes like the adaptive histogram equalization, segmentation, feature extraction and machine learning techniques to develop a Touchless fingerprint system. The system validation and performance evaluation were recorded with a recognition accuracy of 97% and a total processing time of not more than one minute, and tested using a local dataset of camera captured fingerprint images created by the author.