Yu Yirong, Niu Qiming, Li Xuyang, Xue Jianshe, Liu Weiguo, Lin Dabin
School of Optoelectronic Engineering, Xi'an Technological University, Xi'an 710032, China.
BOE Display Technology Co., Ltd., Beijing 100176, China.
Micromachines (Basel). 2023 Jun 14;14(6):1253. doi: 10.3390/mi14061253.
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).
基于生物特征识别的技术是利用人类独特的个体特征来进行身份验证的研究分支,基于人类生物特征的极高可靠性和稳定性,这是最安全的识别方法。常见的生物特征识别标识包括指纹、虹膜和面部特征等。在生物特征识别领域,指纹识别凭借其操作便捷和识别速度快而取得成功。不同的指纹采集技术为指纹识别系统提供指纹信息,在指纹识别系统的认证技术方面引起了广泛关注。这项工作介绍了几种指纹采集技术,如光学、电容式和超声波式,并分析了采集类型和结构。此外,还讨论了各种传感器类型的优缺点,以及光学、电容式和超声波式的局限性和优势。这是物联网应用的必要阶段。