Fingerprint Verification System Based on DWT, Multiple Domain Feature Extraction, and Ensemble Subspace Classifier
Sistema de verificación de huellas dactilares basado en DWT, extracción de características de múltiples dominios y clasificador subespacial de conjuntos
Sistema de verificação de impressão digital baseado em DWT, extração de recursos de vários domínios e classificador de subespaço de conjunto
| 2022 | |
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Verificación de huellas dactilares Procesamiento de imágenes Aprendizaje de clasificación Extracción de características Precisión Clasificador subespacial de conjunto Fingerprint verification Image processing Classification learner Feature extraction Accuracy Ensemble subspace classifier Verificação de impressão digital Processamento de imagem Aprendizado de classificação, extração de recursos Precisão Classificador de subespaço de conjunto |
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| Español | |
| Universidad de Montevideo | |
| REDUM | |
| http://revistas.um.edu.uy/index.php/ingenieria/article/view/1108 | |
| Acceso abierto | |
| Atribución 4.0 Internacional |
| Sumario: | 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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