Artificial Neural Network Based Face Detection Using Gabor Feature Extraction

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Provided by: Creative Commons
Topic: Security
Format: PDF
In this paper, the authors propose a classification-based face detection method using Gabor filter features. Considering the desirable characteristics of spatial locality and orientation selectivity of the Gabor filter, they design filters for extracting facial features from the local image. The feature vector based on Gabor filters is used as the input of the classifier, which is a Feed Forward Neural Network (FFNN) on a reduced feature subspace learned by an approach simpler than Principal Component Analysis (PCA).
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