Metaheuristic Optimization Algorithms Based Feature Selection for Fingerprint Image Classification

10 Pages Posted: 27 Feb 2018

See all articles by K.T Mithuna

K.T Mithuna

KPR Institute of Engineering and Technology

K Sasirekha

Periyar University

K Thangavel

Periyar University

Date Written: November 15, 2017

Abstract

Fingerprint biometric plays a vital role to authenticate a person in a right way. Fingerprint classification is crucial which reduces the search time of a large database while authentication. In this research work, a novel fingerprint image classification system is proposed with the exploit of metaheuristic optimization based feature selection methods. It involves four main tasks: pre-processing, feature extraction, feature selection, and classification. Initially, the fingerprint is denoised using undecimated wavelet transform. Then, a set of rich discriminate Local Binary Pattern (LBP) features are extracted from the enhanced image. Metaheuristic models such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Ant Colony Optimization (ACO) are studied for feature selection. Finally, the fingerprint images are classified using Back Propagation Neural Network (BPN). In this research, experiments have been conducted on real-time fingerprint images collected from 150 subjects each with ten orientations using eSSL ZK7500 fingerprint sensor and also on the NIST-4 dataset. The experimental results are compared in terms of Precision, Recall, F-measure, Accuracy, and Error rate with other benchmark classification techniques such as Support Vector Machine (SVM) and Multi Layer Perceptron (MLP), to conclude the efficacy of the proposed approach.

Keywords: ACO, BPN, biometric fingerprint, GA, PSO

Suggested Citation

Mithuna, K.T and Sasirekha, K and Thangavel, K, Metaheuristic Optimization Algorithms Based Feature Selection for Fingerprint Image Classification (November 15, 2017). Proceedings of the International Conference on Intelligent Computing Systems (ICICS 2017 – Dec 15th - 16th 2017) organized by Sona College of Technology, Salem, Tamilnadu, India, Available at SSRN: https://ssrn.com/abstract=3126677 or http://dx.doi.org/10.2139/ssrn.3126677

K.T Mithuna (Contact Author)

KPR Institute of Engineering and Technology ( email )

SF.No: 204/2 & 204/4, Kollupalayam
Arasur, Coimbatore
Uthupalayam, Tamil Nadu 641407
India

K Sasirekha

Periyar University ( email )

Periyar Palkalai Nagar
Salem, Tamil Nadu 636011
India

K Thangavel

Periyar University ( email )

Periyar Palkalai Nagar
Salem, Tamil Nadu 636011
India

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