IMPROVING GESTURE RECOGNITION IN THE ARABIC SIGN LANGUAGE USING TEXTURE ANALYSIS-Reference-Cited by-同舟云学术

IMPROVING GESTURE RECOGNITION IN THE ARABIC SIGN LANGUAGE USING TEXTURE ANALYSIS

Published:2007-01 Issue:1 Volume:21 Page:11-33
ISSN:0883-9514
Container-title:Applied Artificial Intelligence
language:en
Short-container-title:Applied Artificial Intelligence

Author:

Al-Jarrah Omar,Al-Omari Faruq A.

Publisher

Informa UK Limited

Subject

Artificial Intelligence

Link

http://www.tandfonline.com/doi/pdf/10.1080/08839510600938524

Reference33 articles.

1. Ahmad , S. 1995 . A usable real-time 3D hand tracker . In Proceedings of the 28th Asilomar Conference on Signals, Systems, and Computers . pages 1257 – 1261 . Pacific Grove , Canada : IEEE Computer Society Press .

2. Recognition of gestures in Arabic sign language using neuro-fuzzy systems

3. Preliminary Landfill Site Screening Using Fuzzy Geographical Information Systems

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Recognition of Indian Sign Languageusing SURF, BoW & CNN;2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS);2024-06-28

2. Machine learning methods for sign language recognition: A critical review and analysis;Intelligent Systems with Applications;2021-11

3. Detection of Turkish Sign Language Using Deep Learning and Image Processing Methods;Applied Artificial Intelligence;2021-09-23

4. Recognition of user-dependent and independent static hand gestures: Application to sign language;Journal of Visual Communication and Image Representation;2021-08

5. AUTOMATIC ARABIC SIGN LANGUAGE RECOGNITION: A REVIEW, TAXONOMY, OPEN CHALLENGES, RESEARCH ROADMAP AND FUTURE DIRECTIONS;Malaysian Journal of Computer Science;2020-10-30