Segmentation, Tracking And Feature Extraction For Indian Sign Language Recognition

D. S, K. S., Nivin Anton A L, P. S.
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引用次数: 16

Abstract

Sign Language is a meansof communication between audibly challenged people. To provide an interface between the audibly challenged community and the rest of the world we need Sign Language translators. A sign language recognition system computerizes the work of a sign language trEvery Sign Language Recognition (SLR) System is trained to recognizespecific sets of signs and they correspondingly output the sign in the required format. These SLR systems are built with powerful image processing techniques. The sign language recognition systems are capable of recognizing a specific set of signing gestures and output the corresponding text/audio. Most of these systems involve the techniques of detection, segmentation, tracking, gesture recognition and classification. This paperproposes a design for a SLR System.
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印度手语识别的分割、跟踪与特征提取
手语是听觉障碍人士之间的一种交流方式。为了在听觉障碍群体和世界其他地方之间提供一个接口,我们需要手语翻译。手语识别系统将手语的工作电脑化,所有的手语识别系统都经过训练,能够识别特定的一组手势,并相应地以所需的格式输出这些手势。这些单反系统采用强大的图像处理技术。手语识别系统能够识别一组特定的手势,并输出相应的文本/音频。这些系统大多涉及检测、分割、跟踪、手势识别和分类等技术。本文提出了一种单反系统的设计方案。
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International Journal of Computer Science and Applications
International Journal of Computer Science and Applications Computer Science-Computer Science Applications
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期刊介绍: IJCSA is an international forum for scientists and engineers involved in computer science and its applications to publish high quality and refereed papers. Papers reporting original research and innovative applications from all parts of the world are welcome. Papers for publication in the IJCSA are selected through rigorous peer review to ensure originality, timeliness, relevance, and readability.
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