The application of adaptive fractional differential algorithm in virtual keyboard
Bo Li, Wei Chau Xie, Xiaoyuan Yu, Langwen Zhang · 2017
The virtual keyboard applying image processing technology can collect the image of keyboard area via camera and identify which key is pressed after image processing. Virtual keyboard has the advantages like less hardware, small volume and easy portability. Because of the interference of light and noise, it is likely to lose pixel when extracting the edge of key image using traditional image processing method, which may lead to the decrease of key identification accuracy. As a result, this paper applies adaptive fractional differential in virtual keyboard, which not only enhances the edge of key image, but also retains the weak texture of the image. Therefore, the edge of key in the image is clearer and the discrete edge pixels decrease, which improves the accuracy of subsequent key position extraction.