Non-contact gesture, palm print and palm vein fused identity recognition system and method

Abstract

The invention discloses a non-contact gesture, palm print and palm vein fused identity recognition system and method. The non-contact gesture, palm print and palm vein fused identity recognition system comprises a shell, an imaging system and a control system, the imaging system comprises a light source module, an acquisition module and a photoelectric switch; the control system comprises a processing and control module; the light source module comprises a light source circuit board; the acquisition module comprises a camera provided with an optical filter; the light source circuit board and the camera are started through the photoelectric switch, when the photoelectric switch detects an object, the light source is turned on, and the camera starts to acquire an image; the processing and control module comprises an interface circuit board, an embedded core board, a temperature sensor and a touch screen.

Description

Technical field [0001] The present invention belongs to the field of biometric identification, especially in the field of palm-grade identification, and gesture certification. At the same time, it involves gesture identification and control, and specific identification systems and methods involving a non-contact gesture and palm pattern, intravenous fusion. Background technique [0002] How to prove that I am my proposition has always been a popular problem in the field of identity. Unlike traditional password-based identity authentication technology, biometric identification technology is increasingly concerned about people. Biological identification technology has been widely promoted in our daily lives, such as face payment, fingerprint landing, airport security check, and the routine safety of our life. However, with the continuous development of society, the information technology has deeply entered the various corners of people. While people 's lives have facilitated, indiv...

AI Technical Summary

Problems solved by technology

However, due to the high requirements of gesture recognition for the recognition of places, gesture-based remote control of curtains, lights, etc. has not been widely used.

[0005] In the prior art, when performing gesture authentication, the influence of temperature on gestures is not considered, and there is no device that can simultaneously collect palm prints, palm veins, and gesture information and use these information for identity authentication

When recognizing palm prints, palm veins, and gesture information, the extracted features are not encrypted, so the security is not high

No device can integrate palmprint recognition, palm vein recognition and gesture authentication into a single device and perform offline authentication

Moreover, the existing palmprint and palm vein recognition devices usually require the user to place the hand in a fixed position to keep still, and the ease of use is relatively poor.

[0006] Current gesture authentication operates under the same lighting conditions, carries insufficient information, is easily disturbed by complex environments, and lacks edge devices based on deep learning for remote gesture recognition and further gesture control.

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