基于计算机视觉的孟加拉手语识别系统

S. Begum, M. Hasanuzzaman
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引用次数: 28

摘要

手语是人类手势交流的一个特定领域,是各种聋人社区使用的一种全面复杂的语言。在孟加拉国,有很多聋哑人。对于不懂手语的人来说,与他们交流变得非常困难。在这种情况下,口译员可以提供很大帮助。因此,让计算机能够理解孟加拉国的手语,可以作为翻译是可取的。提出了一种基于计算机视觉的孟加拉语手语识别系统(BdSL)。在该系统中,主成分分析(PCA)分别用于孟加拉语元音和孟加拉语数字的识别。该系统测试了6个孟加拉元音和10个孟加拉数字。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computer Vision-based Bangladeshi Sign Language Recognition System
Sign language is a specific area of human gesture communication and a full-edged complex language that is used by various deaf communities. In Bangladesh, there are many deaf and dumb people. It becomes very difficult to communicate with them for the people who are unable to understand the Sign Language. In this case, an interpreter can help a lot. So it is desirable to make computer to understand the Bangladeshi sign language that can serve as an interpreter. In this paper, a Computer Vision-based Bangladeshi Sign Language Recognition System (BdSL) has been proposed. In this system, separate PCA (Principal Component Analysis) is used for Bengali Vowels and Bengali Numbers recognition. The system is tested for 6 Bengali Vowels and 10 Bengali Numbers.
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