Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/74715
Full metadata record
DC FieldValueLanguage
dc.contributor.authorJoshua Kurniawan
dc.date.accessioned2018-05-23T05:04:54Z
dc.date.available2018-05-23T05:04:54Z
dc.date.issued2018
dc.identifier.urihttp://hdl.handle.net/10356/74715
dc.description.abstractThis report documents the algorithm of Optical Character Recognition, to the purpose of detecting and recognizing the real-life text such as type word or scanned word. It details the process of the program to detect and recognize word from scene text images and explain the entire process of the program itself. Split into two major parts, the report explains within the Project set-up and on the latter part the Project process and development. The first part of the report deals with the set up to do the project, where multiple libraries is used and all of them is dependent to each other, thus comprehensive set up, and step by step guide is necessary to make library works properly. The second part is detailed explanation of the program processing the scene text images, so the program can detect and recognize the word within the images using OCRTesseract as the OCR engine, the report shows detailed explanation of the pre-processing needed to be able to minimize error of the program. Then it seeks to explain the process of feature extraction and text segmentation. Finally, the report explains the result of OCRTesseract when multiple variable in the images is change.en_US
dc.format.extent53 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineeringen_US
dc.titleOnline OCR (optical character recognition) using NVIDIA Jetson platformen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorChau Lap Puien_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeBachelor of Engineeringen_US
dc.contributor.supervisor2Chen Jieen_US
item.fulltextWith Fulltext-
item.grantfulltextrestricted-
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)
Files in This Item:
File Description SizeFormat 
FYP Report.pdf
  Restricted Access
2.76 MBAdobe PDFView/Open

Page view(s) 20

770
Updated on Jul 15, 2024

Download(s) 50

25
Updated on Jul 15, 2024

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.