Automatic Extraction of Arabic Number from Egyptian ID Cards

Abstract

ID check is a vital process to verify people identify and to allow entry to different places like universities, check points or a banks. This process is usually done by just looking into the ID or writing it down. To improve the check process and make it quick and easy, our work develops a novel system that extracts the Arabic numbers from the ID picture. The proposed algorithm uses morphological operations more specifically dilation to maximally eliminate non Region Of Interest (ROI) and enhance the (ROI). Moreover, algorithm applies (Speeded Up Robust Features) SUFE algorithm to extract feature points of each image and the correlation based template matching technique to recognise characters. The approach has been evaluated with 17 ID cards pictures taken by amateur people with their mobile and other pictures from the internet. The images were too bright, dark, or from an angle. The algorithm is tested with these pictures and all ID numbers where identified correctly