OPTICAL CHARACTER RECOGNITION USING ARTIFICIAL INTELLIGENCE TECHNOLOGIES
Adam Musiał
adam.musial.ftims@gmail.comLodz University of Technology, Faculty of Technical Physics, Information Technology and Applied Mathematics (Poland)
Piotr Szczepaniak
Lodz University of Technology, Faculty of Technical Physics, Information Technology and Applied Mathematics (Poland)
Abstract
The article represents results of the research of an Optical Character Recognition system. Proposed OCR system is able to convert a raster image into the text string, which represents the text shown on the input image. The main innovation is the fact that the system was created without following any strict rules. It was more an innovative research rather than simple programming using ready guidelines.
Keywords:
character recognition, artificial intelligence, feature extraction, clustering algorithmsReferences
Lazarek J., Szczepaniak P.: Detection of Semantically Significant Image Elements Using Neural Networks. Computer Recognition Systems 4, Tom 4.
Google Scholar
Musiał A., Szczepaniak P.: Optical Character Recognition using Artificial Intelligence Technologies. Master’s Thesis at the Institute of Information Technologies. Lodz University of Technology.
Google Scholar
Puchała D., Yatsymirskyy M.: Neural Network in Fast Adaptive Fourier Descriptor Based Leaves Classification. Artificial Intelligence and Soft Computing – ICAISC 2008.
Google Scholar
Szczepaniak P.: Obliczenia inteligentne, szybkie przekształcenia i klasyfikatory. Akademicka Oficyna Wydawnicza Exit, 2004.
Google Scholar
Authors
Adam Musiaładam.musial.ftims@gmail.com
Lodz University of Technology, Faculty of Technical Physics, Information Technology and Applied Mathematics Poland
Authors
Piotr SzczepaniakLodz University of Technology, Faculty of Technical Physics, Information Technology and Applied Mathematics Poland
Statistics
Abstract views: 460PDF downloads: 151
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
