<title>Form type identification for banking applications and its implementation issues</title>

Abstract

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.

Two Methods for Filled-in Document Image Identification Using Local Features

“…Other works rely on using character and string codes to achieve the document identification (Sako et al, 2003), as well as, on computing pixel densities from image regions (Heroux et al, 1998). Within form-type documents, specific applications are addresed to coupons (Nagasaki et al, 2006), banking (Ogata et al, 2003) or business (Ting and Leung, 1996) form identification.…”