Desarrollo de un Modelo de Reconocimiento y Clasificación de Rostro Utilizando Técnicas de Inteligencia Artificial (Lambda-Fuzzy)
DOI:
https://doi.org/10.21501/21454086.676Keywords:
Lógica difusa, Lamda, Reconocimiento facial, Análisis de componentes principales,Abstract
En este artículo se presenta una estrategia para el reconocimiento de imágenes estáticas, específicamente de reconocimiento facial a través de una técnica novedosa y reciente de clasificación que se llama método Lamda (Learning Algorithm for Multivariable Data Analysis). La estrategia consta de tres etapas que conforman el modelo de reconocimiento y clasificación presentado en este trabajo, la primera, denominada pre-procesamiento, es la encargada de adecuar las imágenes con procesos de filtrado y comprensión. La segunda etapa es la correspondiente a la extracción de características para obtener los atributos de las imágenes y diferenciarlas de manera correcta. Finalmente, la etapa de clasificación, que es la que relaciona las clases con las imágenes analizadas con la técnica Lambda.Downloads
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