Multimodal biometric identification device and identification method thereof

Abstract

The present invention belongs to the technical field of biological characteristic identification and particularly relates to a multimodal biometric identification device and an identification method thereof. A display module, a fingerprint acquisition module, a facial image acquisition module, an iris image acquisition module, a voice acquisition module, a password input module and a communicationmodule are connected to a central processing unit. The central processing unit is used for processing collected information, comparing the collected information and information stored in a database,displaying a comparison result through a display device, and sending the result to related control equipment through the communication module. According to the multimodal biometric identification device and the identification method, through the reasonable combination or fusion of multiple biological features, recognition performance and reliability better than that of a single biometric identification system can be obtained, the difficulty and complexity of counterfeiting the biological features of a human body are increased, the safety of the system is improved, and the device and the methodcan be applied to day-to-day management of enterprises, governmental agency units with high security level demands, a financial industry and other application occasions.

Description

technical field [0001] The invention belongs to the technical field of biometric identification, and in particular relates to a multimodal biometric identification device and an identification method thereof. Background technique [0002] With the rapid development of computer technology and new theories in today's information society, modern biometric identification technology has been rapidly developed and applied. On the other hand, the demand for personal identity authentication and management is also growing. Biometric recognition is a technology that uses the unique physiological and behavioral characteristics of the human body for automatic identification, including vein recognition, face recognition, voice recognition, and iris recognition. It has been widely used in salary assessment systems, access control systems, and safety monitoring systems. , Government affairs systems, and all aspects of social life such as digital terminal access, identity authentication for...

AI Technical Summary

Problems solved by technology

[0003] However, the current research on biometric identification technology generally focuses on the study of single-modal identification systems. Although it has the characteristics of rapid identification, there are also many problems that cannot be overcome only by single-modal identification.

Because when using a single technology and module, it is difficult to achieve effective identification, and its accuracy is not high. For example, human fingerprints can be copied and forged relatively easily, so there is a possibility of using forged fingerprint copies to deceive the fingerprint identification system. Instability; for example, when the fingerprint is damaged or the iris is abnormal, it will also have a certain impact on the recognition result

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