earticle

영어

In this research, detection the meaning of pigpen chiper using a modification of the k-nearest neighbor algorithm. The detection process is by reading the image that contains the pigpen chiper, separating the pigpen chiper characters that exist in the image, and then detects the meaning of a pigpen chiper character one by one by comparing each pigpen chiper character with the images in the database, so it can be obtained an image to be used as a reference to detect the meaning of each pigpen chiper character. By using the proses, system can detect the meaning of pigpen chiper with 80% of accuracy. The calculation process is also very simple and fast.