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Pengolahan Citra Digital untuk Keyboard Virtual Sebagai Antarmuka pada Aplikasi Berbasis Web

机译:虚拟键盘的数字图像处理作为基于Web的应用程序的接口

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Since the first computer was founded, keyboard is always been a primary tool for interaction between humans and computers. Today, many computers use image processing technology to make interaction between computers and humans. The author try to apply image processing technology that implemented to virtual keyboard on web application. Using a webcam to capture the tip of index finger and the results will be sent to the localhost server for processing with image processing. Using Haar Cascade Classifier method to detect the tip of index finger, it will produce coordinates that sent to the web application and it used as a reference for determining button positions on virtual keyboard. Virtual keyboard characters will display after appointed by the tip of? index finger. From testing results, optimal distance from index finger to webcam is 20 – 35 cm. System can recognize the tip of index finger on white background and room with few furnitures. Average response time for displaying virtual keyboard sentences is 3 minutes and 28.838 seconds. So the virtual keyboard on this system was not able to be used as interface on web application, because it difficult to use in directing the tip of index finger to the character keys .
机译:自第一台计算机诞生以来,键盘一直是人类与计算机之间交互的主要工具。如今,许多计算机都使用图像处理技术在计算机和人之间进行交互。作者尝试将已实现的图像处理技术应用于Web应用程序上的虚拟键盘。使用网络摄像头捕获食指的尖端,并将结果发送到本地主机服务器进行图像处理。使用Haar级联分类器方法检测食指的尖端,它将产生发送到Web应用程序的坐标,并用作确定虚拟键盘上按钮位置的参考。虚拟键盘字符将在提示后显示?食指。根据测试结果,食指到网络摄像头的最佳距离为20 – 35 cm。系统可以在白色背景和很少家具的房间上识别食指的尖端。显示虚拟键盘句子的平均响应时间为3分钟28.838秒。因此,该系统上的虚拟键盘无法用作Web应用程序上的界面,因为很难将食指的尖端指向字符键。

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