Fingerprint Verification System Based on DWT, Multiple Domain Feature Extraction, and Ensemble Subspace Classifier

Andrés Rojas; Gordana Jovanovic Dolecek

doi:10.36561/ING.23.4

Authors

Andrés Rojas National Institute of Astrophysics, Optics, and Electronics, México https://orcid.org/0000-0003-1773-8514
Gordana Jovanovic Dolecek National Institute of Astrophysics, Optics, and Electronics, México https://orcid.org/0000-0003-1258-5176

DOI:

https://doi.org/10.36561/ING.23.4

Keywords:

Fingerprint verification, Image processing, Classification learner, Feature extraction, Accuracy, Ensemble subspace classifier

Abstract

This paper describes a fingerprint verification system including preprocessing, Wavelet transform, feature extraction using multiple domains, and ensemble subspace discriminant classifier. The system is implemented in MATLAB using Wavelet Toolbox, Image Processing Toolbox, and Statistics and Machine Learning Toolbox. First, the motivation and novelty, followed by the review of the previous work, are presented. Next, all steps are described in detail. Three fingerprint databases from the literature are used. The proposed method’s performance is compared with state-of-the-art techniques based on different classifiers utilizing the accuracy metric. The proposed algorithm achieves high accuracy at 97.5% for the DB3-FVC2000 subset.

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