Browsing by Subject "Character recognition system"
Now showing 1 - 2 of 2
Results Per Page
Sort Options
Item Open Access Computer vision based text and equation editor for LATEX(IEEE, 2004-06) Öksüz, Özcan; Güdükbay, Uğur; Çetin, EnisIn this paper, we present a computer vision based text and equation editor for LATEX. The user writes text and equations on paper and a camera attached to a computer records actions of the user. In particular, positions of the pen-tip in consecutive image frames are detected. Next, directional and positional information about characters are calculated using these positions. Then, this information is used for on-line character classification. After characters and symbols are found, corresponding LATEX code is generated.Item Open Access Multifont Ottoman character recognition(IEEE, 2000) Öztürk, Ali; Güneş, S.; Özbay, Y.Ottoman characters from three different fonts are used character recognition problem, broadly speaking, is transferring a page that contain symbols to the computer and matching these symbols with previously known or recognized symbols after extraction the features of these symbols via appropriate preprocessing methods. Because of silent features of the characters, implementing an Ottoman character recognition system is a difficult work. Different researchers have done lots of works for years to develop systems that would recognize Latin characters. Although almost one million people use Ottoman characters, great deal of whom has different native languages, the number of studies on this field is insufficient. In this study 28 different machine-printed to train the Artificial Neural Network and a %95 classification accuracy for the characters in these fonts and a %70 classification accuracy for a different font has been found.