PENGOLAHAN CITRA DIGITAL UNTUK KEYBOARD VIRTUAL SEBAGAI ANTARMUKA PADA APLIKASI BERBASIS WEB

Since the first computer was founded, keyboard is always been a primary tool for interaction between humans and computers. Today, many computers use the 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. The average response time for displaying virtual keyboard characters is 5.156 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