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Ipe, 2023 - Google Patents

A comparison of PCA and HOG for feature extraction and classification of human faces

Ipe, 2023

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Document ID
12968244698421578361
Author
Ipe N
Publication year
Publication venue
Authorea Preprints

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Snippet

This paper presents a simple analysis and comparison of the efficacy of feature extraction and generalization achieved using Histogram of Oriented Gradients (HOG) and Principal Component Analysis (PCA). A Naı̈ve Bayes classifier was trained with a dataset of pre …
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Classifications

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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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