Deep learning based face shape classification system with binary feature selection model

doi:10.1016/j.eswa.2025.129115

Deep learning based face shape classification system with binary feature selection model

2025-07-27

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DOI：10.1016/j.eswa.2025.129115

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• This research used a novel method to classify the face shape. • several steps like pre-processing, feature extraction, feature selection and classification. • Adaptive bilateral filtering technique, reduce the signal noise and improve image’s quality. • The feature extraction step decrease the time and increase the accuracy. • A binary emperor penguin meta-heuristic model, increase accuracy and reduce dimensionality.

Keywords:

face shape classification

adaptive bilateral filtering

feature extraction

feature selection

binary emperor penguin optimization

Deep learning based face shape classification system with binary feature selection model

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