Thesis deals with analysis and design system for automatic document recognition. The system examines the document and converts it into text data, and shall be preserved information about the initial position of the word in the original document. These data will then be reviewed and some of them will be assigned their importance. The way the data will be assigned is based on rules which may vary according to user needs. According to the data, their assignment and the importance of their position, the system finds a similar document and, if it identifies the current document examined. Powered by TCPDF (www.tcpdf.org)
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:345269 |
| Date | January 2016 |
| Creators | Michalko, Jakub |
| Contributors | Skopal, Tomáš, Kopecký, Michal |
| Source Sets | Czech ETDs |
| Language | Slovak |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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