Vision-based recognition of hand shapes in taiwanese sign language

Jung Ning Huang, Pi Fuei Hsieh, Chung Hsien Wu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The pixel-based shape representation has been sensitive to rotation. In this paper, we propose a pixel-based descriptor that is invariant with rotation and scale for the hand shape recognition in Taiwanese Sign Language (TSL). Based on the property that a hand shape is characteristic of a unique pointing direction, angle normalization is used to meet the rotation-invariant requirement. With angle normalization, the traces of class covariance matrices have been reduced almost all over the classes of hand shapes, implying a less overlap between classes. It is confirmed by the experiments that show an increase in recognition accuracy.

Original languageEnglish
Title of host publicationAffective Computing and Intelligent Interaction - First International Conference, ACII 2005, Proceedings
PublisherSpringer Verlag
Pages224-231
Number of pages8
ISBN (Print)3540296212, 9783540296218
DOIs
Publication statusPublished - 2005 Jan 1
Event1st International Conference on ffective Computing and Intelligent Interaction, ACII 2005 - Beijing, China
Duration: 2005 Oct 222005 Oct 24

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3784 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other1st International Conference on ffective Computing and Intelligent Interaction, ACII 2005
CountryChina
CityBeijing
Period05-10-2205-10-24

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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