Tsukasa Yasue

Form-type identification for banking applications and its implementation issues

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.

Detection of a Hand Holding a Cellular Phone Using Multiple Image Features

Detection of a hand holding a cellular phone was developed to recognize whether someone is using a cellular phone while operating an automated teller machine (ATM). The purpose is to prevent money transfer fraud. Since a victim is told a bogus reason to transfer money and how to operate the machine through a cellular phone, detecting a working cellular phone is necessary. However, cellular phone detection was not realistic due to variable colors and shapes. We assumed that a users hand beside the face was holding a cellular phone and decided to detect it. The proposed method utilizes color, shape, and motion. Color and motion were used to compare the input to the face. Shape was used to compare the input to the standard hand pattern. The experimental result was a detection rate of 90.0% and a false detection rate of 3.2%, where 7,324 and 20,708 images were used respectively.