Neuro Genetic-Nearest Neighbor Based Data Mining Techniques for Fingerprint Classification and Recognition System

Overview

The proposed fingerprint classification using Data Mining technique, Neuro Genetic-Nearest Neighbor based recognition, overcomes low recognition rate, low accuracy, increased time of recovery and improves the classification rate. The proposed method involves various stages like image enhancement, line detector based feature extraction and neural network classification using Learning Vector Quantization and Kohonen networks. Optimization of the neural parameters and recognition of images are done using Genetic algorithm based K Nearest Neighbor algorithm. The system is trained and tested on Fingerprint Database obtained from university of Bologna Italy, which consists of 900 samples.