不同手语识别技术的研究

Vinit Khetani, Yatin Gandhi, Rashmi Patil
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引用次数: 2

摘要

语言是通过声音进行交流和表达的手段,其中手语是通过手势,面部表情,手指运动进行交流。这种手语是给聋哑人用的。这是一种视觉化的沟通方式。在识别手语方面做的工作很少。本文主要对手语技术进行比较研究。回顾了从视频或图像中提取手语特征和分类的不同技术。从视频中识别手语是一项具有挑战性的任务,因为视频必须转换为帧,而这些帧可以用于识别。未来,我们将提出一个系统,将识别手势从印度手语。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Study on Different Sign Language Recognition Techniques
Language is means of communicating and expressing by using sound wherein, Sign language is communicating through hand gesture, face expression, fingers movement. This sign language is for deaf and dump people. It is visual method to communicate. Very less work has been done on identification of sign language. This paper mainly focuses on comparative study of Sign Language techniques. It reviews different techniques for feature extraction and classification of Sign Language from video or images. Recognition of sign language from video is one of the challenging tasks as video has to be converted to frames and that frames can be used for identification. In future, we will propose a system which will identify gesture from Indian sign language.
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