Mieko Asano

A robust recognition system for a drawing superimposed on a map

A robust and efficient drawing recognition system that is based on a representation technique using accurate shape and topological line information for an input drawing image is described. This representation supports primitive decomposition and object extraction that enable accurate automatic interpretation even for low-quality drawings. The system, which is adapted to an underground electric cable diagram, has been implemented on a workstation.<<ETX>>

Form identification based on cell structure

This paper proposes a new form document identification technique that uses the structure of cells in a form. The proposed method represents the cell structure by the location of the center points of each cell. This representation allows the form identification to be realized by a process of matching the points in an input image to the points in registered forms. We have implemented the point matching process using the two-dimensional hash table. This implementation enables the system to robustly identify an input form even if it is skewed or deformed by a scanning process, and to reduce the time for the identification. Moreover, the similarity between two forms defined by the implementation can be used to evaluate the identification ability when a set of registered forms is specified. Experimental results show the robustness and effectiveness of the proposed technique.