This paper presents a new type ATM called image-ATM and an image workflow system developed for banking applications. The system including the image-ATM captures the paper forms brought by the clients at the very front-end, identifies the type of forms, and recognizes the data on the form automatically. The image-ATM can accept over 400 different kinds of forms. The system is presently in operation at some of the Japanese major banks. They could reduce considerable human workforce for their branch offices by introducing the image workflow system and by centralizing the back-office work at a few operation centers. Technically, form recognition, especially form type identification, was one of the keys for this success. This paper discusses a method for form type identification and its technical issues.
An automatic registration method for graph images which recognizes the structure of graphs is proposed. This method has the advantage of saving cost and time compared with the manual registration of types and labels of graphs as search indexes in electronic filing systems. The method is implemented in an advanced document image retrieval system, and the efficiency of the index registration is ascertained by experiment. The outline of this method is as follows: The types of graphs, the axes, and the labels of axes are initially detected. The types of graphs are classified into several categories and labels are attached to the axes. Next, the types are registered as indexes of the graphs, and the label images are recognized and converted into ASCII data, and also stored as indexes. An automaton model is used in the process of attaching the labels to analyze the components of the images. The automaton model refers to a knowledge-base of stored rules of layout structure. It then chooses appropriate labels for each axis.
Conference Committee Involvement (3)
Document Recognition and Retrieval XII
19 January 2005 | San Jose, California, United States
Document Recognition and Retrieval XI
21 January 2004 | San Jose, California, United States
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