Balinese Script Recognition Using Tesseract Mobile Framework
One of the main factors causing the decline in the use of Balinese Script is that Balinese people are less interested in reading Balinese Script because of their reluctance to learn Balinese Script, which is relatively complicated in the recognition process. The development of computer technology ha...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Udayana University, Institute for Research and Community Services
2022-11-01
|
| Series: | Lontar Komputer |
| Online Access: | https://ojs.unud.ac.id/index.php/lontar/article/view/92159 |
| _version_ | 1828090103154606080 |
|---|---|
| author | Gede Indrawan Ahmad Asroni Luh Joni Erawati Dewi I Gede Aris Gunadi I Ketut Paramarta |
| author_facet | Gede Indrawan Ahmad Asroni Luh Joni Erawati Dewi I Gede Aris Gunadi I Ketut Paramarta |
| author_sort | Gede Indrawan |
| collection | DOAJ |
| description | One of the main factors causing the decline in the use of Balinese Script is that Balinese people are less interested in reading Balinese Script because of their reluctance to learn Balinese Script, which is relatively complicated in the recognition process. The development of computer technology has now been used to help by performing character recognition or known as Optical Character Recognition (OCR). Developing the OCR application for Balinese Script is an effort to help preserve, from the technology side, as a means of education related to Balinese Script. In this study, that development was conducted by using a Tesseract OCR engine that consists of several stages, i.e., the first one is to prepare the dataset, the second one is to generate the dataset using the Web Scraping method, the third one is to train the OCR engine using the generated dataset, and finally, the fourth one is to implement the generated language model into a mobile-based application. The study results prove that the dataset generation process using the Web Scraping method can be a better choice when faced with a training dataset that requires a large dataset compared to several previous studies of non-Latin character recognition. In those studies, the jTessBox tools were used, which took time because they had to select per character for a dataset. The best result of the language model is a combination of character, word, sentence, and paragraph datasets (hierarchical combination of character, word, sentence, and paragraph datasets) with a coincidence rate of 66.67%. The more diverse and structured hierarchical datasets used, the higher the coincidence rate. |
| first_indexed | 2024-04-11T05:51:49Z |
| format | Article |
| id | doaj.art-1b9ec4938e854f10a7893e977dbdc939 |
| institution | Directory Open Access Journal |
| issn | 2088-1541 2541-5832 |
| language | English |
| last_indexed | 2024-04-11T05:51:49Z |
| publishDate | 2022-11-01 |
| publisher | Udayana University, Institute for Research and Community Services |
| record_format | Article |
| series | Lontar Komputer |
| spelling | doaj.art-1b9ec4938e854f10a7893e977dbdc9392022-12-22T04:42:03ZengUdayana University, Institute for Research and Community ServicesLontar Komputer2088-15412541-58322022-11-0113316017110.24843/LKJITI.2022.v13.i03.p0392159Balinese Script Recognition Using Tesseract Mobile FrameworkGede Indrawan0Ahmad Asroni1Luh Joni Erawati Dewi2I Gede Aris Gunadi3I Ketut Paramarta4Universitas Pendidikan GaneshaDepartment of Electrical Engineering and Computer Science, Universitas Pendidikan GaneshaDepartment of Electrical Engineering and Computer Science, Universitas Pendidikan GaneshaDepartment of Electrical Engineering and Computer Science, Universitas Pendidikan GaneshaDepartment of Balinese Language Education, Universitas Pendidikan GaneshaOne of the main factors causing the decline in the use of Balinese Script is that Balinese people are less interested in reading Balinese Script because of their reluctance to learn Balinese Script, which is relatively complicated in the recognition process. The development of computer technology has now been used to help by performing character recognition or known as Optical Character Recognition (OCR). Developing the OCR application for Balinese Script is an effort to help preserve, from the technology side, as a means of education related to Balinese Script. In this study, that development was conducted by using a Tesseract OCR engine that consists of several stages, i.e., the first one is to prepare the dataset, the second one is to generate the dataset using the Web Scraping method, the third one is to train the OCR engine using the generated dataset, and finally, the fourth one is to implement the generated language model into a mobile-based application. The study results prove that the dataset generation process using the Web Scraping method can be a better choice when faced with a training dataset that requires a large dataset compared to several previous studies of non-Latin character recognition. In those studies, the jTessBox tools were used, which took time because they had to select per character for a dataset. The best result of the language model is a combination of character, word, sentence, and paragraph datasets (hierarchical combination of character, word, sentence, and paragraph datasets) with a coincidence rate of 66.67%. The more diverse and structured hierarchical datasets used, the higher the coincidence rate.https://ojs.unud.ac.id/index.php/lontar/article/view/92159 |
| spellingShingle | Gede Indrawan Ahmad Asroni Luh Joni Erawati Dewi I Gede Aris Gunadi I Ketut Paramarta Balinese Script Recognition Using Tesseract Mobile Framework Lontar Komputer |
| title | Balinese Script Recognition Using Tesseract Mobile Framework |
| title_full | Balinese Script Recognition Using Tesseract Mobile Framework |
| title_fullStr | Balinese Script Recognition Using Tesseract Mobile Framework |
| title_full_unstemmed | Balinese Script Recognition Using Tesseract Mobile Framework |
| title_short | Balinese Script Recognition Using Tesseract Mobile Framework |
| title_sort | balinese script recognition using tesseract mobile framework |
| url | https://ojs.unud.ac.id/index.php/lontar/article/view/92159 |
| work_keys_str_mv | AT gedeindrawan balinesescriptrecognitionusingtesseractmobileframework AT ahmadasroni balinesescriptrecognitionusingtesseractmobileframework AT luhjonierawatidewi balinesescriptrecognitionusingtesseractmobileframework AT igedearisgunadi balinesescriptrecognitionusingtesseractmobileframework AT iketutparamarta balinesescriptrecognitionusingtesseractmobileframework |