Optical music recognition (OMR) is one of the most promising tools for generating large-scale, distributable libraries of musical data. Much OMR work has focussed on instrumental music, avoiding a special challenge vocal music poses for OMR: lyric recognition. Lyrics complicate the page layout, making it more difficult to identify the regions of the page that carry musical notation. Furthermore...

This paper describes teachers’ recognition about children’s trouble and children’s recognition about trouble in the class of information education. We found that teachers tend to recognize that children’s trouble is about the computer system and function or process of using the software, on the other hand, children tend to recognize that it is the situation they are stopped by something during ...

We examine the Differential Grammar , a representat ion designed to discr iminate which of a set of eonfusable al ternat ives is most likely in the context it occurs in. This approach is useful whereever uncer ta inty may exist about the ident i ty of a token or sequence of tokens, including in speech recognition, optical character recognition and machine t ransla t ion. In this paper our appl ...

Moment features have been applied in pattern recognition systems since the moment method was developed. In this paper, a set of moment features extracted from the newly developed Gegenbauer moment method for Chinese character recognition is proposed. Compared with the results based on other moment methods, the Gegenbauer moments can provide a modest improvement in terms of recognition for those...

To date, research for Chinese and Japanese character recognition is still preliminary1. Because the number of Kanji, i.e. Chinese characters, is over fifty thousand, it is hard to rely on any general-purpose global model to recognize all Chinese characters. Alternatively, a promising approach is to separate the Chinese characters into several groups. For each group, a local model is developed t...

Machine understanding of hand,filled documents in China, Japan and Korea requires not only general solutions of document analysis but also ability to handle peculiarities of the Oriental languages. As expected, handwritten Chinese character recognition is the major task for it. In addition, Japanese Kana, Korean Hangul, Roman alphabet as well as numerals are targets of recognition. The main dif...