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DC Field | Value | Language |
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dc.contributor.author | Matheel Emaduldeen Abdulmuim | - |
dc.date.accessioned | 2023-10-18T17:27:27Z | - |
dc.date.available | 2023-10-18T17:27:27Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | http://dx.doi.org/10.24237/djps.1302.237A | en_US |
dc.identifier.issn | 2222-8373 | - |
dc.identifier.uri | http://148.72.244.84:8080/xmlui/handle/xmlui/4861 | - |
dc.description.abstract | Chemical structures are a suitable way to represent the chemical equations perfectly in 2D space. But sometimes a hands drawn structures have some complicated when one take them as a document image and then recognized it to its full meaning to be accepted in machine datamining techniques so far. The wavelets with Spline are verysteady and commonly symmetric or anti-symmetric.B-Spline has the preferableparataxisproperties over all different types of wavelets in order L-1.In this paper a unified framework was built to include the organic and inorganic expressions. A suitable way was presented to classify hand drawn chemical structures using the B-Spline wavelet transform as a tool for image classification. Inempiricalvaluationone can show that an enforcement of thismethodexceed the open source system available.The proposed framework achieved in Test-5 with 84.7% data accuracy for recognition the handwrittenchemical expression database. Also with 77.8% classification accuracy using discrete B-Spline wavelet transforms. | en_US |
dc.description.sponsorship | https://djps.uodiyala.edu.iq/ | en_US |
dc.language.iso | en | en_US |
dc.publisher | university of Diyala | en_US |
dc.subject | Chemical structure, B-Spline wavelet transform, Recognition. | en_US |
dc.title | Recognition a Hand Drawn Chemical Structure Diagrams Using the Discrete B-Spline Wavelet Transform | en_US |
dc.type | Article | en_US |
Appears in Collections: | مجلة ديالى للعلوم الاكاديمية / Academic Science Journal (Acad. Sci. J.) |
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