Information processing apparatus
An information processing device and transaction processing technology, which are applied in image data processing, image data processing, data processing applications, etc., and can solve problems such as low recognition accuracy
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Embodiment 1
[0095] As a first embodiment of the present invention, using figure 1 and Figure 3 to Figure 6 An example of detection of a registered suspect will be described. The image input processing 100 inputs an image from the camera 230 mounted on the ATM. In face detection processing 110, a face area is detected from an image. Details of the face detection processing 110 will be described later. In the face detection determination process 120, if no face region is detected, the face detection process is repeated. When a face is detected, in the face recognition process 130, it is recognized whether the detected face matches the face in the biometric information DB 320 registered as a suspect. Details about facial recognition processing 130 use Figure 12 The description is explained later. In the facial recognition determination process 140, when the user is determined to be a registered suspect, the suspect handling process 150 is performed. Details about the suspect handlin...
Embodiment 2
[0106] As a second embodiment of the present invention, using Figure 7 and Figure 8 An example of detecting a person using multiple cards as a suspect will be described.
[0107] Figure 7 It is the registration flow of face information when using ATM. Face regions are detected from the image in face detection processing 170 . When the face is detected, registration 700 of user information in transaction is performed. Here, the biometric information DB 320 is registered with a face photo of the user in the transaction, and the card number of the card used is registered in the personal attribute DB 330 . These biological information and attribute information are registered as a pair. exist Figure 7 In the case of , unlike Embodiment 1, all user information is registered. Carry out normal transaction 160 later.
[0108] Figure 8 It is the process of determining whether the ATM user in the transaction is a suspect. After the face detection process 170, the face reco...
Embodiment 3
[0116] As a third embodiment of the present invention, using Figure 9 Let's describe an example of detecting a person who snooped someone else's password as a suspect. In face detection processing 170, a face area is detected from the image. Next, a snooping determination 900 is performed. Whether there is the person who snoops can be in the middle of the transaction, especially before and after inputting the password, by detecting whether there is another face in the image besides the user's face. Figure 13 is an example of detecting a face from an image 1300 input by a camera. The face 1310 (large face drawn) located in the front is the user in transaction, and the face 1320 located in the back is regarded as a snooper. However, people who are behind the line are also captured in the image, so it can be judged not only by the number of faces, but also by the size and orientation of faces. Although it is behind the user, but the face is reflected to a certain extent, or...
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