Published July 30, 2026 | Version CC-BY-NC-ND 4.0
Journal article Open

Vietnamese Sign Language Recognition for People with Hearing Impairment using Digital Library

Authors/Creators

  • 1. Lecturer, Faculty of Information Technology, Posts and Telecommunications Institute of Technology (PTIT) in Vietnam, Ha Dong, (Ha Noi), Vietnam.

Contributors

Contact person:

  • 1. Lecturer, Faculty of Information Technology, Posts and Telecommunications Institute of Technology (PTIT) in Vietnam, Ha Dong, (Ha Noi), Vietnam.

Description

Abstract: This paper proposes a method for building a specialised sign language dataset for deaf-mute sign language recognition in digital libraries, comprising 120 signs and 65 phrases, collected from 25 people with hearing impairments in Hanoi and Ho Chi Minh City. The data were collected under various conditions and yielded approximately 125,000 video samples after processing. Based on experimental results with Random Forest , pure LSTM , and CNN-LSTM models , the CNN-LSTM model yields the best results and is selected for the development of Vietnamese sign language recognition services, demonstrating high performance, stability, and suitability for practical implementation requirements.

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Additional details

Identifiers

DOI
10.35940/ijitee.I1287.15080726
EISSN
2278-3075

Dates

Accepted
2026-07-15
Manuscript received on 20 June 2026 | First Revised Manuscript received on 27 June 2026 | Second Manuscript Accepted on 08 July 2026 | Manuscript Accepted on 15 July 2026 | Manuscript published on 30 July 2026.

References

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