Publication:
Research, Direct Construction form Optical Characteristics – OCR using Department Technology
Research, Direct Construction form Optical Characteristics – OCR using Department Technology
| datacite.subject.fos | oecd::Engineering and technology | |
| dc.contributor.author | Ly Hai Son, Nguyen Thu Nguyet Minh, Tra Van Dong | |
| dc.date.accessioned | 2023-09-27T03:40:31Z | |
| dc.date.available | 2023-09-27T03:40:31Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | Optical character recognition – using a deep learning technique that describes an overview of optical character recognition, the basic steps in the optical character recognition problem. At the same time, the thesis introduces in detail the Long short term memory (LSTM) deep learning method and its application in optical character recognition. Through testing on a dataset of 10,000 license plate photos, the thesis showed that the application of the LSTM method is quite effective in optical character recognition. | |
| dc.identifier.doi | https://doi.org/10.47191/ijmra/v6-i2-20 | |
| dc.identifier.uri | http://repository.vlu.edu.vn:443/handle/123456789/8787 | |
| dc.language.iso | en_US | |
| dc.relation.ispartof | INTERNATIONAL JOURNAL OF MULTIDISCIPLINARY RESEARCH AND ANALYSIS | |
| dc.relation.issn | 2643-9875 | |
| dc.subject | optical character | |
| dc.subject | optical character recognition | |
| dc.title | Research, Direct Construction form Optical Characteristics – OCR using Department Technology | |
| dc.type | Resource Types::text::journal::journal article | |
| dspace.entity.type | Publication | |
| oaire.citation.issue | 2 | |
| oaire.citation.volume | 6 | |
| oairecerif.author.affiliation | #PLACEHOLDER_PARENT_METADATA_VALUE# |
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