VGU RESEARCH REPOSITORY
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https://epub.vgu.edu.vn/handle/dlibvgu/971
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Nguyen Tien Hung | en_US |
dc.date.accessioned | 2020-07-17T07:11:51Z | - |
dc.date.available | 2020-07-17T07:11:51Z | - |
dc.date.issued | 2019 | - |
dc.identifier.uri | http://epub.vgu.edu.vn/handle/dlibvgu/971 | - |
dc.description.abstract | Computer Vision and natural languages Processing have archived accomplishments in digitizing document and document classification. This paper present a machine learning approach to recognizing scanned receipts. The recognition system has three main modules: Image Processing, text detection based on Connectionist Text Proposal Network (CTPN) and text recognition using Tesseract OCR and categorize intention using Long short-term memory (LSTM) network. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Vietnamese German university | en_US |
dc.subject | Machine learning | en_US |
dc.subject | Digitizing receipt | en_US |
dc.title | Digitizing receipt using machine learning | en_US |
dc.type | Thesis | en_US |
item.grantfulltext | restricted | - |
item.fulltext | With Fulltext | - |
item.languageiso639-1 | other | - |
Appears in Collections: | Computer Science (CS) |
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File | Description | Size | Format | Existing users please Login |
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Digitizing receipt using machine learning.pdf | 15.66 MB | Adobe PDF |
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