A study on document retrieval system for large-scale database based on OCR and character shape information

摘要

Making a large database of electronic documents from paper documents has left a tremendous problem. In order to search the database for an image document, it is necessary for general electronic filing systems to convert the document into texts using OCR. However, the system cannot retrieve documents that do not contain correct character codes. We had before proposed a document retrieval method that reduces false drops and false alarms by using the "shape-feature" technique that describes the outline of the character's shape. We have studied this method for large-scale database by using parallel processing and confirmed its effect.