Abstract

The Indonesian Identity Card (ID card) has been widely used as authentication in various fields. One of the most common uses of ID cards is registration on various business processes that require some personal privacy data, including an ID number, full name, date of birth, address, and many more. This research focuses on extracting the ID card image characters into an editable format by implementing the Optical Character Recognition (OCR) in the mobile platform. There are three significant steps of the proposed algorithm: image pre-processing, character recognition, and character extraction. The output of this research is an application that enables the user to recognize some important information on the ID card image and save the data into a file by utilizing an Android-based smartphone. The system proposed achieved the best accuracy of 87.5% from 50 samples of Indonesian National ID cards with 2.137 characters recognized (the average is 43 words).

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