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Robust approaches for face recognition

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thesis
posted on 2018-10-02, 00:00 authored by A Mohammed
This thesis gave answers to a number of important questions regarding face classification. Via this research, new methods were introduced to represent four facial attributes (three of them related to the demographic information of the human face: gender, age and race) and the fourth one related to facial expression. It stated that, discriminative facial features regarding to demographic information (gender, age and race) and expression information can be obtained by applying texture analysis techniques to the polar raster sampled images. In addition, it is found that, multi-label classification (MLC) is more suitable in the real world as a human face can be associated with multiple labels.

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Pagination

233 p.

Open access

  • Yes

Material type

thesis

Resource type

thesis

Language

eng

Degree type

Research doctorate

Degree name

Ph.D

Copyright notice

The author

Editor/Contributor(s)

A Sajjanhar

Faculty

Faculty of Science

School

Engineering and Built Environment

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