Nurzam, Fariz Dzulfiqar (2017) IMPLEMENTATION OF REAL-TIME SCANNER JAVA LANGUAGE TEXT WITH MOBILE VISION ANDROID BASED. S1 - Sarjana thesis, Universitas AMIKOM Yogyakarta.
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Abstract
Currently technological research in the translating has penetrated to image processing. One of the role of image processing in the translating is optical character recognition technology on various platform, an example on Android mobile. However, the current research on image processing of translating with the native regional language of Indonesia still rarely. In this research, the writer performs the implementation of Latin text translate from Bahasa Indonesia into Javanese text with Google Mobile Vision in real-time, also vice versa with Android mobile based application. Which is Google Mobile Vision is one of the open-source optical character recognition library with pattern recognition method. With the design of client server architecture, the writer develop Android application as client and Web Service application that can process REST API and interact with the database. The output of this research is an application for translate that can scan words in Javanese into Bahasa Indonesia, or vice versa in frame of an Android application. With this research, it's expected to be the benchmark for image processing research for native regional language of Indonesia.
| Item Type: | Thesis (S1 - Sarjana) | ||
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| Uncontrolled Keywords: | Optical Character Recognition, Mobile Vision, Android, Client Server Architecture, REST API | ||
| Subjects: | 000 - Komputer, Informasi dan Referensi Umum > 000 Ilmu komputer, ilmu pengetahuan dan sistem-sistem > 004 Pemrosesan data dan ilmu komputer 000 - Komputer, Informasi dan Referensi Umum > 000 Ilmu komputer, ilmu pengetahuan dan sistem-sistem > 005 Pemrograman komputer, program dan data |
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| Divisions: | Fakultas Ilmu Komputer > Informatika | ||
| Depositing User: | RC Universitas AMIKOM Yogyakarta | ||
| Date Deposited: | 29 Aug 2022 08:29 | ||
| Last Modified: | 07 Nov 2023 08:15 | ||
| URI: | http://eprints.amikom.ac.id/id/eprint/6080 |
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