International Journal of Mathematics Trends and Technology
Volume 1 | Issue 1 | Year 2011 | Article Id. IJMTT-V1I1P4 | DOI : https://doi.org/10.14445/22315373/IJMTT-V1I1P4
The project entitled as” using artificial intelligence strangeness in machine translation. The main objective is to recognize all type of characters, which may be of various font styles even of hand-written type by implementing the artificial intelligence (ai) providing various texts editable formats. The process involves two modules template matching and character matching. Template matching is used for the input character representation images. Such systems are font dependent and suffer in accuracy when given documents printed in novel font styles. Then prefer character matching for recognition. Character matching is to group together similar characters in the document and solves a cryptogram to assign labels to clusters of characters. This method does not require any character model and it is able to handle arbitrary font styles. Template matching involves three processes. They are straightforward, multi threading and property grid. Character matching also involves three steps. They are advanced processing, set region and display character. The project is able to display recognized characters, numbers and the reduced characters. The project can recognize single character, selected characters and entire characters of the file. The entire process is developed using the software tool C#.Net. Then two dynamic link libraries called fuzzy optical character recognition (focr1 and focr2) are used.
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Dr.M.Helda Mercy, P.Prakash, Ms. N. Malathy, "USING ARTIFICIAL INTELLIGENCE STRANGENESS IN MACHINE TRANSLATION," International Journal of Mathematics Trends and Technology (IJMTT), vol. 1, no. 1, pp. 38-41, 2011. Crossref, https://doi.org/10.14445/22315373/IJMTT-V1I1P4
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