Real-time identity recognition and authentication method for self-service equipment system of bank

Abstract

The invention provides a real-time identity recognition and authentication method for a self-service equipment system of a bank. With face information and historical information, which can be simply and conveniently acquired, identity recognition and authentication are accomplished by using a multi-information fusion method. By using the conventional face recognition technology as main recognition basis and using identity card information and bank credit records as auxiliary information, the accuracy and stability of the identity recognition are guaranteed, and the method can be applied to the identity recognition and authentication of the self-service equipment of the bank, so that the working load of the bank is reduced, working efficiency and the quality of service are improved, and office intelligentization is realized.

Description

technical field [0001] The invention belongs to the cross field of pattern recognition and information security, and in particular relates to a real-time identity recognition method for bank self-service equipment systems. The supplementary identification method is a method to prevent related crimes such as fraud by using bank self-service equipment. Background technique [0002] At present, the identification and authentication methods commonly used by banks mainly rely on passwords and manual processing. Many businesses can only be processed manually due to their high requirements on the accuracy of identification and authentication, such as the issuance of bank cards and credit cards. With the continuous expansion of the current banking business, especially the demand for bank cards is soaring. As of 2010, the number of bank cards issued nationwide has exceeded 2.3 billion. It can be seen that the workload of banks is increasing. The work pressure of personnel is also in...

AI Technical Summary

Problems solved by technology

But at present, there is an obvious shortcoming in bank self-service equipment. There are large loopholes in identity recognition and authentication. Only relying on passwords has led to an increase in criminal activities such as fraud using bank self-service equipment, and many time-consuming and labor-intensive businesses Unable to use self-service equipment to handle [1], such as bank cards and credit cards

Some of the existing methods for identity recognition and authentication still have certain shortcomings, which prevent them from being applied more stably to the identity recognition of bank self-service equipment: the method of face recognition, its recognition is more dependent on the environment, stable Insufficient, and it is difficult to solve the problems caused by changes in facial features due to age, so it cannot be applied to the identification of bank self-service equipment [2]; iris recognition and fingerprint recognition, due to the two recognition The method needs to establish an iris feature library and a fingerprint library, but the collection of iris and fingerprint features is not popular at present [3], and its application is not widespread enough; other biometric recognition, such as gait recognition, note recognition, auricle recognition, etc. The stability and popularity of the method are not up to the requirements, and it is currently difficult to apply to the identification and authentication of banks

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