A Face Characteristic Detection System Using Ontology and Supervised Learning
Journal Title: International Journal of the Computer, the Internet and Management - Year 2017, Vol 25, Issue 1
Abstract
Describing a face characteristic is a task usually made by human experts for monitoring suspect in temporary checkpoints. In this work, we present a computer system capable to describe face characters from an image to assist on the task. Features of the face such as eyes, nose, mouth, and skin are extracted to create classification model for different types. The model is used to set up rules to work along with ontology based inference engine for generating human-understandable face description. From testing, our proposed system yielded impressive accuracy results about 96% in average. The main advantage of the system is the ability to apply supervised learning method to directly gain a rule set used in ontological inference from data-driven approach.
Authors and Affiliations
Chayapol Khoonnaret, Supot Nitsuwat
Keywords
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