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Extraction of information from identity documents
 Hudcovský, Erik ; Lattenberg, Ivo (oponent) ; Caha, Tomáš (vedoucí práce)
This thesis is about the processing information from personal documents (ID card or passport) into the form that is further easily to be processed for computers and the IT industry in general. This process is implemented by the application I developed as part of my bachelor's thesis. The application contains the scanned document, the document type and the form of the required output. As the output we get the document type in the required format. The entire application is using in process an external OCR tool (OpticalCharacter Recognition), which is implemented so that it can be easily replaced by another OCR tool. I used Tesseract in my application. This OCR tool is the simpliest and most accurate of the free OCR tools at the same time. It also has strong community support and is still being developed. In this thesis, I also focused on its testing, both on the samples of text I created, and on real scans of documents. The application is also processed as an installation package, so it can be easily imported into other projects. The entire application is displayed as OpenSource on GitHube under the free license of MIT.
Úplný záznam
Extraction of information from identity documents
 Hudcovský, Erik ; Lattenberg, Ivo (oponent) ; Caha, Tomáš (vedoucí práce)
This thesis is about the processing information from personal documents (ID card or passport) into the form that is further easily to be processed for computers and the IT industry in general. This process is implemented by the application I developed as part of my bachelor's thesis. The application contains the scanned document, the document type and the form of the required output. As the output we get the document type in the required format. The entire application is using in process an external OCR tool (OpticalCharacter Recognition), which is implemented so that it can be easily replaced by another OCR tool. I used Tesseract in my application. This OCR tool is the simpliest and most accurate of the free OCR tools at the same time. It also has strong community support and is still being developed. In this thesis, I also focused on its testing, both on the samples of text I created, and on real scans of documents. The application is also processed as an installation package, so it can be easily imported into other projects. The entire application is displayed as OpenSource on GitHube under the free license of MIT.
Úplný záznam

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