抄録
In this research, we attempt to create a company information consulting system for job hunting students in Mie University, by developing a company information database which includes company profiles and job-opening information. Here, the paper based company information is converted to the digital documents by using image scanners and creating a database. The written data on the digitalized job-opening information sheets are recognized, and a searching system for the consulting system is developed using the recognized written data. We use OCR(Optical Character Reader) for this purpose. The lines affect the character recognition of OCR. The purpose of this research is to delete solid lines and dot/dash lines on the digitalized job-opening information sheets and improve the character recognition of the OCR. In this paper, we developed algorithms which are more effective than conventional methods for this purpose without affecting characters. Results of the experiments using appropriate images showed the effectiveness of proposals.
