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

Autores/as

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

Palabras clave:

Verificación de huellas dactilares, Procesamiento de imágenes, Aprendizaje de clasificación, Extracción de características, Precisión, Clasificador subespacial de conjunto

Resumen

Este documento describe un sistema de verificación de huellas dactilares que incluye preprocesamiento, transformada Wavelet, extracción de características utilizando múltiples dominios y clasificador discriminante subespacial de conjunto. El sistema se implementa en MATLAB utilizando Wavelet Toolbox, Image Processing Toolbox y Statistics and Machine Learning Toolbox. En primer lugar, se presenta la motivación y la novedad, seguido de la revisión del trabajo anterior. A continuación, se describen todos los pasos en detalle. Se utilizan tres bases de datos de huellas dactilares de la literatura. El rendimiento del método propuesto se compara con técnicas de última generación basadas en diferentes clasificadores que utilizan la métrica de precisión. El algoritmo propuesto logra una alta precisión del 97,5 % para el subconjunto DB3-FVC2000.

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