Personal recognizing device and method based on multi-mode biological recognition information

Abstract

The invention provides a device for acquiring biological recognition information. The device comprises a detection portion for outputting a result inclusive of face confirmation information when detecting the face of a person makes an appearance in a detection range; a first image acquisition portion for acquiring a face image appearing in the detection range after receiving the face confirmation information; and a second image acquisition portion for acquiring a palm image appearing in the detection range, wherein the first image acquisition portion and the second image acquisition portion acquire respective images at different time. The device may simultaneously acquire face and palm biological information, has a high face recognition passing rate and high face recognition accuracy, and may achieve a vein recognition and anti-counterfeiting capability of the palm image. Further, since the face image and the palm image are both acquired and compared in a non-contact way, the device achieves a clear and convenient image acquisition process and good user experience.

Description

technical field [0001] The present application relates to the field of biometric identification, in particular, to a collection device based on multi-mode biometric identification information and a personal identification device, method and program based on the device. Background technique [0002] Biometric technology and related products have been widely used in user identification and verification / authentication, such as attendance machines, smart locks in the security industry, access control machines, elevator controls, access control products for entrance and exit, parking lot products, and video surveillance products. This biometric identification method can be introduced to achieve the purposes of time management, entrance and exit security control, and people flow statistics. Biometric technology can also be integrated and applied to large-scale software and projects. Specifically, these products can be applied to any environment that requires access control and sec...

AI Technical Summary

Problems solved by technology

Therefore, the application of iris, finger vein, and palm vein, which are relatively concealed and difficult to imitate biometric features, emerged as the times require. However, the biometric features of these three identification methods are relatively difficult to obtain, and the recognition accuracy is relatively limited. Make up for it with a relatively mature recognition method such as face to improve the security level

[0004] At present, two or more composite authentication methods have been more and more recognized by users, such as composite fingerprint and face recognition, fingerprint and finger vein composite recognition, but they all have different defects: First, because of the different biometric features Different image requirements lead to very limited market applications of its products. For example, the requirements of fingerprints on whether the surface of the fingerprint is dry, wet, or clean, the requirements of facial recognition on ambient light, and the requirements of finger vein collection on the user's finger placement cannot be met. Simple to use, high recognition accuracy, high pass rate, and good user experience requirements in the market

Secondly, there is a problem that fingerprint and face composite recognition cannot be anti-counterfeiting, because fingerprints and faces are relatively easy to forge

Finally, fingerprint and finger vein composite identification products also have the problem of contact collection and comparison, and the user experience is not good

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