RANCANG BANGUN APLIKASI PEMBELAJARAN KARAKTER MANDARIN BERBASIS PENGENALAN KARAKTER DENGAN METODE PCA
Indrajaya, Samuel, I Wayan Angga Wijaya · 2012
Image is constructed by a number of pixels that form a matrix. Pixels are the smallest parts of image which containing the information. One method for extracting information from an image is Principal Component Analysis(PCA). PCA method is doing projection from image space with higher dimension to feature space with lower dimension. The purpose of making this project is to determine whether PCA method is effective for Chinese’s character recognition and also to build a Chinese’s character learning application based on a character recognition with PCA method. This application uses a digital canvas as a input media so users can do a direct input in real time. System will perform the calculation using PCA method to Chinese’s character image by extracting feature value from the tested image and image sample which have five image data per Chinese’s character with the average level of the Chinese’s character recognition percentage reached 65%. This application is expected to facilitate the user in a recognition and learning Chinese’s character.