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Título del libro: Ijcci 2015 - Proceedings Of The 7th International Joint Conference On Computational Intelligence
Título del capítulo: Hybrid methodology focused on the model of binary patterns and the theory of fuzzy logic for facial biometric verification and identification

Autores UNAM:
NIDIYARE HEVIA MONTIEL;

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Autores externos:

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Idioma:
Inglés

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Año de publicación:
2015

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Palabras clave:

Binary Patterns; Facial Biometrics; Fuzzy Logic; Image Procebing; Pattern Recognition

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Resumen:

It is proposed a methodology to improve verification and identification biometric facial indicators based in hybridization binary pattern models and the fuzzy logic theory, making besides use of the traditional image pre-procebing models, feature extraction and clabifiers to validate the performance of the proposal methodology. The facial recognition is complicated due to the variability of the facial appearance related the same person, and the small characteristic samples for each person in adverse conditions. To fix this, is considered the binary pattern models as an excellent choice to the local face representations, whose more important properties is their tolerance against the variations of luminance, scale and rotation. However, the binary pattern model is sensitive to small variations of the pixel intensities, generally caused by the noise, which introduce uncertainty to the texture and contrast representation of the facial image. Using fuzzy logic in the binary patterns calculation, leads to a texture representation model that takes into account the uncertainty of the contained information in each image, providing a better representation of texture and contrast measure. In combination with traditional algorithms in the pre-procebing stage, as photometric and histogram normalization, the feature extraction stage is achieved using linear discriminants and Gabor wavelets to provide finally a stage of the support vector machines clabification. © Copyright 2015 by SCITEPRESS - Science and Technology Publications, Lda.

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Entidades citadas de la UNAM:

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Fuente:


ISBN:
9789897581571
Editorial:
SciTePress

Tipo de producto:
Conference Paper