ATM identity authentication method based on face recognition

Abstract

The invention discloses an ATM identity authentication method based on face recognition. The ATM identity authentication method comprises the following steps that (1) a user inserts a card in an ATM and completes password inputting, and then an ATM monitoring system acquires a cardholder face image corresponding to the card from a database; (2) a real-time monitoring image is taken and then face detection is performed on the image, and appearance of the face in the image is detected; (3) if the face is not detected, the user is prompted to adjust the position to be aligned with a camera, and the process returns to the step (2); if only one face is detected, face recognition is performed on the user face and the face of the cardholder; and if multiple faces are detected, the face of the largest size is selected to perform face recognition with the face of the cardholder; and (4) if the user face is not matched with the face of the cardholder, the user and the cardholder are not the same person through judgment, and an alarm device is triggered to alarm.

Description

technical field [0001] The invention relates to the field of face recognition, and more particularly, to an ATM authentication method based on face recognition. Background technique [0002] With the rapid development of my country's economy and the rapid expansion of banking business, the application range of ATM machines has gradually expanded, and it has become an important equipment for the promotion of banking business. ATM machines have functions such as automatic withdrawal, deposit and remittance and unattended use environment, which not only facilitates people's quick deposit and withdrawal, but also leads to an increasing number of disputes and financial crimes surrounding ATM machines. Not only makes cardholders suffer huge property losses, but also disrupts the normal working order of financial institutions. Therefore, strengthening the operational safety and information security of ATM machines is a common concern of ATM machine developers and banking industry....

AI Technical Summary

Problems solved by technology

In terms of collection methods, it is only mentioned to collect on ATM machine surveillance cameras, or collect at bank counters, or directly use the ID card face image library of the public security system, but it does not consider the quality of the collected face images directly. It is related to the subsequent verification effect, such as the face image on the ID card is too low in pixels, the details are blurred, and local features cannot be reflected, etc.

The post-acquisition maintenance is also not well considered. For example, the face image was collected a long time ago, so it will inevitably be very different from the current appearance of the cardholder, which will directly affect the subsequent verification effect.

[0010] 2. In terms of image preprocessing, the existing technology does not consider that most ATM machine usage scenarios are very complex, the illumination changes greatly within a day, and the images collected by the monitoring system are noisy, so the unprocessed images are directly used for subsequent verification Great effect

[0011] 3. In terms of face recognition, most of the existing technologies use traditional hand-designed face features. However, the missed detection rate and false recognition rate of these features are high, and it is difficult to achieve good verification results.

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