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VGU RESEARCH REPOSITORY


Please use this identifier to cite or link to this item: https://epub.vgu.edu.vn/handle/dlibvgu/971
DC FieldValueLanguage
dc.contributor.authorNguyen Tien Hungen_US
dc.date.accessioned2020-07-17T07:11:51Z-
dc.date.available2020-07-17T07:11:51Z-
dc.date.issued2019-
dc.identifier.urihttp://epub.vgu.edu.vn/handle/dlibvgu/971-
dc.description.abstractComputer 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.isoenen_US
dc.publisherVietnamese-German University-
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectMachine learningen_US
dc.subjectDigitizing receipten_US
dc.titleDigitizing receipt using machine learningen_US
dc.typeThesisen_US
item.grantfulltextrestricted-
item.fulltextWith Fulltext-
item.languageiso639-1other-
Appears in Collections:Computer Science (CS)
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