Perancangan Aplikasi Optical Character Recognition Berbasis Backpropagation Pada Perangkat Mobile

Perancangan Aplikasi Optical Character Recognition Berbasis Backpropagation Pada Perangkat Mobile

• By Toby Zulkarnain, Suharyanto, Anton;
• Jurnal Nasional Tidak Terakreditasi
• 535
• 195-202

Text is one of the most expressive ways of communication, and can be embedded into documents as a means of communicating environmental information. In recent years, there have been many technological advances in the problem of detecting and recognizing text in images and videos. Android is a generation of mobile phone that is very widely used in Indonesia and has high mobility. Text character recognition is usually associated with character recognition that is processed optically and is also known as optical character recognition (OCR). The method used in this system includes image acquisition and character recognition. For prediction of image character recognition using a neural network with backpropagation algorithm, which runs on the Firebase ML Kit service. Firebase ML Kit is used to assist in the OCR computing process that occurs on the Android platform. This application is expected to be one of the alternative media aids in converting image text into digital text quickly. From the test results, the accuracy level of the equal character is 99% from the five test samples.

• Katakunci Android, OCR, Backpropagation, Firebase ML Kit
• URL http://ejournal.nusamandiri.ac.id/index.php/inti/article/view/1134/609
• Penerbit ,

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