论文标题
使用HU时刻与图像处理技术进行实时手语交流的新颖方法
Novel Approach to Use HU Moments with Image Processing Techniques for Real Time Sign Language Communication
论文作者
论文摘要
手语是患有言语和听力缺陷的人的基本交流方法。世界其他地方没有明确的手语想法。 “ Sign Language Communicator”（SLC）旨在解决手语用户与世界其他地区之间的语言障碍。这项研究的主要目的是提供一种低成本负担得起的手语解释方法。该系统对手语学习者也将非常有用，因为他们可以练习手语。在研究期间，对姿势识别中的人类计算机交互技术进行了测试和评估。一系列具有HU仪分类的图像处理技术被确定为最佳方法。为了提高系统的准确性，与HU矩一起实现了新的方法高度过滤。系统能够以84％的精度识别所选的手语标志，而无需受控背景，并进行少量调整
Sign language is the fundamental communication method among people who suffer from speech and hearing defects. The rest of the world doesn't have a clear idea of sign language. "Sign Language Communicator" (SLC) is designed to solve the language barrier between the sign language users and the rest of the world. The main objective of this research is to provide a low cost affordable method of sign language interpretation. This system will also be very useful to the sign language learners as they can practice the sign language. During the research available human computer interaction techniques in posture recognition was tested and evaluated. A series of image processing techniques with Hu-moment classification was identified as the best approach. To improve the accuracy of the system, a new approach height to width ratio filtration was implemented along with Hu-moments. System is able to recognize selected Sign Language signs with the accuracy of 84% without a controlled background with small light adjustments
