Palm bioelectrical impedance spectrum measuring device for biological characteristic recognition

Abstract

The invention discloses a palm bioelectrical impedance spectrum measuring device for biological characteristic recognition. The device comprises a singlechip which is respectively connected with a reset and clock system, an RS232 serial port, a keyboard, an impedance analyzing chip, an LCD display, a power conversion chip and a relay control circuit; a 5V power supply is arranged between the power conversion chip and the relay control circuit; the impedance analyzing chip is connected with a two / four-electrode conversion circuit; the two / four-electrode conversion circuit and the relay control circuit are respectively connected with a palm electrode switching circuit; and in the circuit of the palm electrode switching circuit, the output ends of four relays J1-J4 are respectively connected with HC and HV, and the output ends of another four relays are respectively connected with LV and LC. The palm biological impedance spectrum measuring device realizes four-electrode measurement of ten loops by opening and closing the eight relays, acquires sample data and is applicable to the biological characteristic recognition.

Description

technical field [0001] The invention belongs to the technical field of medical electronic instruments and biological feature identification, and in particular relates to a palm bioelectrical impedance spectrum measuring device for biological feature identification. Background technique [0002] Biometric identification (Biometric) refers to the use of computers to identify personal identities by using the inherent physiological characteristics of the human body (such as face, iris, fingerprints, etc.) or behavioral characteristics (such as handwriting, gait, etc.). Compared with traditional authentication methods such as passwords and certificates, biometric recognition has the advantages of being attached to the human body, not easy to forge, and not easy to imitate. It has become a key technology and industry that developed countries generally value and vigorously develop. [0003] Physiological features used for biometrics include fingerprints, palm prints, hand shapes, f...

AI Technical Summary

Problems solved by technology

[0004] However, there are some shortcomings in the current various biometric identification technologies

For example, most of the above-mentioned biological features such as face, fingerprint, iris, palm print, hand shape, vein, etc. are image signals formed by optical sensors such as CCD or CMOS, which can only be collected under lighting conditions; vein images require an active infrared light source. Personal characteristics with clear details can be obtained. Iris recognition requires expensive focusing cameras, and the cost is high; fingerprint recognition may use fake or severed fingers to exploit loopholes; retinal recognition uses laser perspective that may damage eye health; face recognition The error rate is high, and there is the possibility of fake faces; voice recognition can be deceived by recordings, and signature recognition may also be imitated, etc.

In addition, the liveness detection function has always been the weak link of the biometric system. Some researchers have used forged fingerprints and faces to break through the existing system, which has caused some users to have a crisis of trust in the biometric technology. Therefore, the liveness detection technology will be The biggest bottleneck for biometric systems to enter high-end security applications

Generally speaking, the existing biometric technology cannot balance acquisition cost, ease of use, non-invasiveness and reliability, which restricts the popularization and application of this technology

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