An effective vector extraction method on architectural imaging using drawing characteristics

Abstract

In this paper, vectorization is achieved by the recognition of architectural drawing images. To obtain vector components, an architectural drawing recognizer (ADR) is developed. The ADR recognizes line components such as main wall, dimension line and points that indicate the dimension of scanned architectural drawing images. A merging process from separately recognized line components is accomplished in order to increase the accuracy of result vectors. The recognition ratio and the vectorization of ADR is 98.3% over 9 real scanned apartment building images.