Research on High Performance Mathematical Expression Recognition Method for Digitization of Scientific Documents

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In this research, a new mathematical expression recognition system based on our former system has been developed, and intensive experimentations were curried out for mathematical journals. The subjects of our improvement are as follows;( 1 ) Collection of a large numbers of characters and symbols used in mathematical expressions.( 2 ) Improvement of a algorithm which can deal with touching and separated characters or symbols.( 3 ) Recognition of wide variety of Matrices and conditional expressions.( 4 ) Improvement of script expression recognition.( 5 ) Development of a quantitative performance evaluation method for mathematical expression recognition.( 6 ) Construction of a grand truth database.For the subject ( 1 ), various characters and symbols were collected from the journals "Archiv der Mathematik vol. 60-65" which is the documents we are working on the joint project with Essen University, Germany. For ( 2 ), some improvements were made, but this is one of our future works. For ( 3 ), matrices including other matrices or abbreviation symbols as elements can be recognized fairlywell. For ( 4 ), the recognition rate for long script expressions was improved due to construction of anewdictionaryof small sized fonts. For ( 5 ), recognition results for each sub-expressions are presented in mathML formats, and compared automaticallywith the grand truth database developed in the subject ( 6 ). This method enables us to develop our mathematical expression recognition system efficiently. As a result, we confirmed that our recognition system can be used for real applications.