Optical character recognition of typeset Coptic text with neural networks

Optical Character Recognition with a Neural Network Model for Printed Coptic Texts

Furthermore, historical texts are not passed down through the centuries in their entirety but rather contain lacunae and fragmentary words. This makes automatic post-correction more difficult on historical texts than on modern ones. We used two tools to create languageand even documentspecific recognition patterns (or so-called models) to recognize printed Coptic texts. Coptic is the last stage...

Optical Character Recognition for Typeset MathematicsBenjamin

There is a wealth of mathematical knowledge that could be potentially very useful in many computational applications , but is not available in electronic form. This knowledge comes in the form of mechanically typeset books and journals going back more than a hundred years. Besides these older sources, there are a great many current publications, lled with useful mathematical information, which ...

Optical Character Recognition using Neural Networks

Optical Character Recognition and Parsing of Typeset Mathematics1

There is a wealth of mathematical knowledge that could be potentially very useful in many computational applications but is not available in electronic form This knowledge comes in the form of mechanically typeset books and journals going back more than one hundred years Besides these older sources there are a great many current publications lled with useful mathematical information which are d...

Optical Character Recognition with Neural Network

A neural network is defined a computing architecture that consist of massively parallel interconnection of simple neural process. Because of its parallel nature it can perform computation at a higher rate compared to the classical techniques. A neural network contains many nodes.OCR is the acronym for Optical Character Recognition. This technology allows a machine to automatically recognize cha...