抄録
This paper describes a new approach for high-performance image searching method named interlaced fast sequential matching and its application to document image processing for OA system. Conventional image retrieval method for a huge image such as Correlation Matching and SSDA have a shortcoming with their performance. Thus, we introduce the interlaced fast sequential matching in order to avoid the difficulty in the conventional methods. Generally speaking, image retrieval in many kind of documents continues to be one of the most common application for document prcessing. Therefore, if we can find an efficient method to retrieve any character objects without OCR process, the more efficient document management can be performed. We first discuss some essential issues to be considered in document processing with large document image. Experimental results by using the proposed method are also described. The good performance of the interlaced fast sequential matching approach is shown.
