Broadband Piezoelectric Transducers for Under-Display Ultrasonic Fingerprint Sensing Applications

Peng, Chang; Chen, Mengyue; Wang, Hongchao; Shen, Junyao; Jiang, Xiaoning

doi:10.1109/tie.2020.2984977

Cited by 13 publications

(2 citation statements)

References 41 publications

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“…The combination of nanotechnology and ultrasonic technologies can alter standard ultrasound procedures. PZT-5 piezoelectric active material and P(VDF-TrFE) film were used to create ultrasonic fingerprint sensors by the Peng team [ 236 , 237 ]. The PZT-5H-based sensor effectively captured electronic images of the surface fingerprint pattern and the inner vascular simulation channel by simulating skin with two layers of polydimethylsiloxane (PDMS) and simulating blood vessels with bovine blood in the inner vascular simulation channel.…”

Section: Ultrasonic Fingerprint Recognitionmentioning

confidence: 99%

A Review of Fingerprint Sensors: Mechanism, Characteristics, and Applications

Niu

et al. 2023

Micromachines

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Identification technology based on biometrics is a branch of research that employs the unique individual traits of humans to authenticate identity, which is the most secure method of identification based on its exceptional high dependability and stability of human biometrics. Common biometric identifiers include fingerprints, irises, and facial sounds, among others. In the realm of biometric recognition, fingerprint recognition has gained success with its convenient operation and fast identif ication speed. Different fingerprint collecting techniques, which supply fingerprint information for fingerprint identification systems, have attracted a significant deal of interest in authentication technology regarding fingerprint identification systems. This work presents several fingerprint acquisition techniques, such as optical capacitive and ultrasonic, and analyzes acquisition types and structures. In addition, the pros and drawbacks of various sensor types, as well as the limits and benefits of optical, capacitive, and ultrasonic kinds, are discussed. It is the necessary stage for the application of the Internet of Things (IoT).

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Section: Ultrasonic Fingerprint Recognitionmentioning

confidence: 99%

A Review of Fingerprint Sensors: Mechanism, Characteristics, and Applications

Niu

et al. 2023

Micromachines

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“…In addition, there is no scientific test support. In addition, without the support of scientific tests and quantitative unified objective standards, the identification results lack certain scientific credibility; these factors make the ophthalmology identification method to not have sufficient authority [9]. More importantly, the method cannot accurately express the characteristics and attributes of ancient ceramics through linguistic descriptions, and due to the lack of multiple information management and data support, the elements of identifying ancient ceramics are not easily grasped, it is difficult to form quantitative theories on the characteristics and development patterns of ancient ceramics, and the development patterns of ancient ceramics and their cultural, technical, and historical connotations cannot be comprehensively interpreted, which is not conducive to the objective measurement.…”

Section: Current Status Of Researchmentioning

confidence: 99%

Piezoelectric Sensing Element‐Assisted Ceramic Art Process Optimization and Visual Quantitative Characterization

Yang

2021

Journal of Sensors

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In this paper, piezoelectric sensing elements are used to assist in the study and analysis of ceramic art process optimization and visual quantization characteristics. A series piezoelectric element impedance sensor is designed based on the resonant frequency characteristics of the series piezoelectric element. Combining the resonant frequency characteristics of the series piezoelectric element and the basic principle of the impedance method, a multisensing impedance method based on the series piezoelectric element impedance sensor is proposed. The feasibility of the multisensing impedance method for monitoring the grout compactness was verified experimentally, and the basic principle of the method was further investigated by finite element simulation. The vase-type porcelain vessels were classified according to symmetry elements to find the characteristic points, the abdominal morphology was used as the basis for classification, and the screened samples were extracted from the contours to exclude the influence of other factors on the vessel shape. By the symmetrical elements of each type of ware, the classification principle of the ware type was designed and divided into six types, and each type was further subdivided into various types to establish a typological map of Qing dynasty bottle porcelain. The information entropy redundancy that describes the uniformity of the code appearance probability and the visual redundancy that describes the human eye’s sensitivity to image content or details are all entry points that can be considered for image coding. The experimental results show that the LBP-HOG fusion features can digitally express the information of ancient ceramic ornamentation and dig and verify the evolution of ceramic ornamentation with the times from the digital quantity. The GRNN model has an excellent performance in processing small samples of ancient ceramic data.

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