Sistem Pengenalan Plat Nomor Mobil Dengan Metode Principal Components Analysis

The paper describes a vehicle plate recognition system based on computer vision technique. The vehicle image/video was taken from a digital camera and then the vehicle plate automatically identified, segmented and recognized by the system. The feature reduction technique of Principal Components Analysis (PCA) was used in the system. This application was built using Microsoft Visual C++ 6.0®, Microsoft® DirectShow®, Intel® Image Processing Library and Open Source Computer Vision (OpenCV) Library. The application has been implemented and was able to detect vehicle plate position and recognize it using a PC Pentium II/400 MHz. The recognition rate of ±82% was achieved based on recognition of hundreds alphanumeric images (alphanumeric A-Z, 0-9). This sistem is prospective enough to be used for control and security system in parking area