NCHLT Optical Character Recognition for South African Languages
Title | NCHLT Optical Character Recognition for South African Languages |
Description | An OCR system is an application that enables one to convert scanned paper documents into editable and searchable texts. The engine analyses the structure of document image and divides the page into elements such as blocks of texts, tables and images. These blocks are used to identify character image patterns which are used to advance several hypotheses about the character possibilities. These hypotheses are used to produce different character, word and line level variations and associated probabilities. The set of probability hypotheses are then searched to find the most likely combination of characters, words and lines to produce a textual representation of the image. |
Contact name | Martin Puttkammer |
Contact email | Martin.Puttkammer@nwu.ac.za |
Publisher(s) | North-West University; Centre for Text Technology (CTexT) |
License | Creative Commons Attribution 3.0 Unported License (CC BY 3.0): https://creativecommons.org/licenses/by/3.0/za/ |
Language(s) | Afrikaans; English; isiNdebele; isiXhosa; isiZulu; Sesotho sa Leboa (Sepedi); Setswana; Sesotho; Siswati; Tshivenda; Xitsonga |
Author(s) | Martin Puttkammer; Justin Hocking; Roald Eiselen |
Citation | Hocking, J. and Puttkammer, M., 2016, November. Optical character recognition for South African languages. In Pattern Recognition Association of South Africa and Robotics and Mechatronics International Conference (PRASA-RobMech), 2016 (pp. 1-5). IEEE. |
URI | https://hdl.handle.net/20.500.12185/322 |
Media type | Text |
Type | Tools |
Version | 1.0. |
Format medium | UTF8 |
Project | NCHLT Text III |
Software requirements | Tesseract-OCR |
Primary collection | Resource Catalogue |
Secondary collection | Resource Index |
ISO639 code | afr; eng; nbl; xho; zul; sot; nso; tsn; ssw; ven; tso |
Submit date | 2018-02-05T20:22:45Z; 2018-03-05T17:46:33Z |
Date available | 2018-02-05T20:22:45Z; 2018-03-05T17:46:33Z |
Date created | 2017-02-23 |
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This item appears in the following Collection(s)
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Resource Catalogue [335]
A collection of language resources available for download from the RMA of SADiLaR. The collection mostly consists of resources developed with funding from the Department of Arts and Culture. -
Resource Index [386]
A collection of language resource metadata mostly collected during the NHN funded technology audit of 2009, as well as the SADiLaR technology audit of 2018. Not all resources in this collection are available for download.