S Komorowski & V Berkhahn
Neural networks in the re-engineering process based on construction drawings
Abstract: In this paper an approach is presented to digitize a drawing, to build up geometric and topologic models, to recognise construction parts and to interpret dimension lines and inscriptions. All recognized parts are transformed into a three-dimensional geometric model which provides all necessary geometric information for a product model. The recognition process of construction parts is based on a line search and topologi-cal analysis, which are not suitable for the recognition of drawing inscriptions and hand writings. Therefore, the information of dimension inscriptions has to be neglected in former case studies. Because dimension inscriptions deliver significant information about the dimensions of construction parts, a neural Kohonen network is implemented and adapted in order to recognise inscription text. Finally the gained information about dimensions is related to significant details of construction parts.
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