Alphabetic hand sign interpretation using geometric invariance

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dc.contributor.authorAdhan, Suchin
dc.contributor.authorPintavirooj, Chuchart
dc.date.accessioned2026-08-06T10:09:29Z
dc.date.available2026-08-06T10:09:29Z
dc.date.issued2014-01-20
dc.description.abstractHand alphabet is an important sign language for disability people for a long time. This communication is also necessary for a normal people to understand the meaning as well. Hand language interpretation by applying a hand image posture classification is an active research theme to solve obstacle. In this research, we propose a promising technique to apply a B spline curvature concept for supporting a triangular-based feature extraction element in a hand interpretation process. Area, inner angle and adjacent area ratio which derived from a curvature reference set are created a feature string for each alphabet posture in the template. By testing with all 24 hand alphabets, our system provides a promising result in identification satisfactorily.
dc.identifier.citationBmeicon 2014 7th Biomedical Engineering International Conference, 2014
dc.identifier.doi10.1109/BMEiCON.2014.7017426
dc.identifier.other2-s2.0-84922985343
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/5679
dc.sourceBmeicon 2014 7th Biomedical Engineering International Conference
dc.subjectB spline curvature
dc.subjectFeature extraction
dc.subjectHand alphabet interpretation
dc.titleAlphabetic hand sign interpretation using geometric invariance
dc.typeConference Paper

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