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InfoTech Spectrum: Iraqi Journal of Data Science

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Research article Open Access EN pp. 16–26 · 01 Jun 2024

Rotation Invariant Technique for Sign Language Recognition

  1. Technical College of Management, Middle Technical University, Baghdad, Iraq
  2. Faculty of Information Science & Technology, National University of Malaysia (UKM), Malaysia
✱ Corresponding author: [email protected]
DOI 10.51173/ijds.v1i1.59 IJDS-TRK-2026-59 4 views 0 downloads

Abstract

Sign language recognition is an assistive technology that has garnered significant attention from researchers, particularly with respect to its potential benefits for individuals with hearing impairments. This paper proposes an effective technique for sign language recognition based on the Contourlet Transform (CT) and deep learning. The CT is employed in the pre-processing stage to reduce complexity and processing time, while deep learning is utilized to extract and classify sign language features. The proposed method was evaluated using two sign language databases: a direct feed database and an American sign language database. The experimental analysis demonstrated that the proposed method gives good results in processing time by more than 70% while maintaining high accuracy
Keywords
Sign language Computer science Speech recognition Artificial intelligence Sign (mathematics) American Sign Language Invariant (physics) Assistive technology Contourlet Natural language processing Linguistics Mathematics Human–computer interaction

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Mohamed T. Dardoh Al-Obaidi, Ali M. Sahan and Ali S. Al-Itbi. 2024. Rotation Invariant Technique for Sign Language Recognition. InfoTech Spectrum: Iraqi Journal of Data Science 1, 1 (2024), 16–26. https://doi.org/10.51173/ijds.v1i1.59

Al-Obaidi, M. T. D.; Sahan, A. M. ; Al-Itbi, A. S.. Rotation Invariant Technique for Sign Language Recognition. InfoTech Spectrum: Iraqi Journal of Data Science 2024, 1 (1), 16–26. https://doi.org/10.51173/ijds.v1i1.59

Al-Obaidi, M. T. D., Sahan, A. M. & Al-Itbi, A. S. (2024). Rotation Invariant Technique for Sign Language Recognition. InfoTech Spectrum: Iraqi Journal of Data Science, 1(1), 16–26. https://doi.org/10.51173/ijds.v1i1.59

AL-OBAIDI, Mohamed T. Dardoh; SAHAN, Ali M. ; AL-ITBI, Ali S.. Rotation Invariant Technique for Sign Language Recognition. InfoTech Spectrum: Iraqi Journal of Data Science, v. 1, n. 1, p. 16–26, 2024. https://doi.org/10.51173/ijds.v1i1.59

Al-Obaidi, Mohamed T. Dardoh, Sahan, Ali M. and Al-Itbi, Ali S.. 2024. "Rotation Invariant Technique for Sign Language Recognition." InfoTech Spectrum: Iraqi Journal of Data Science 1 (1): 16–26. https://doi.org/10.51173/ijds.v1i1.59

Al-Obaidi, M. T. D., Sahan, A. M. and Al-Itbi, A. S. (2024) 'Rotation Invariant Technique for Sign Language Recognition', InfoTech Spectrum: Iraqi Journal of Data Science, 1(1), pp. 16–26. https://doi.org/10.51173/ijds.v1i1.59

M. T. D. Al-Obaidi, A. M. Sahan and A. S. Al-Itbi, "Rotation Invariant Technique for Sign Language Recognition," InfoTech Spectrum: Iraqi Journal of Data Science, vol. 1, no. 1, pp. 16–26, 2024. doi: https://doi.org/10.51173/ijds.v1i1.59.

Al-Obaidi, Mohamed T. Dardoh, Sahan, Ali M. and Al-Itbi, Ali S.. "Rotation Invariant Technique for Sign Language Recognition." InfoTech Spectrum: Iraqi Journal of Data Science, vol. 1, no. 1, 2024, pp. 16–26. https://doi.org/10.51173/ijds.v1i1.59

Mohamed T. Dardoh Al-Obaidi, Ali M. Sahan and Ali S. Al-Itbi. "Rotation Invariant Technique for Sign Language Recognition." InfoTech Spectrum: Iraqi Journal of Data Science 1, no. 1 (2024): 16–26. https://doi.org/10.51173/ijds.v1i1.59

Al-Obaidi MTD, Sahan AM , Al-Itbi AS. Rotation Invariant Technique for Sign Language Recognition. InfoTech Spectrum: Iraqi Journal of Data Science. 2024;1(1):16–26. https://doi.org/10.51173/ijds.v1i1.59

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