基于HSV颜色模型和边缘检测的美国手语检测系统

2014 International Conference on Communication and Signal Processing Pub Date : 2014-04-03 DOI:10.1109/ICCSP.2014.6949942

A. Konwar, B. Sagarika Borah, C. T. Tuithung

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引用次数: 32

摘要

本文的工作旨在设计一个基于视觉的美国手语自动检测系统和文本翻译系统。为了从图像中检测人体皮肤颜色，采用HSV颜色模型。然后应用边缘检测从图像中检测手的形状。在此基础上，采用一组形态学运算，得到精细化的手语识别输出。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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An American Sign Language detection system using HSV color model and edge detection

The work presented in this paper is aimed to design an automatic vision based American Sign Language detection system and translation to text. To detect the human skin color from the image, HSV color model is used. Then edge detection is applied to detect the hand shape from the image. A set of morphological operation is applied to get a refined output for the sign language recognition.

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2014 International Conference on Communication and Signal Processing

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