Capacitive Fingerprint Sensors and Applications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: closed (1 April 2022) | Viewed by 3195
Special Issue Editor
Interests: infrared sensing technologies; lasers and detectors; capacitive imaging; skin hydration; embedded systems; Internet of Things; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the increase in consumer electronic products such as smart phones and tablets, the demands for biometric sensing capabilities are also increasing. Among a variety of biometric sensing systems, capacitive fingerprint sensors are one of the most popular biometric sensing techniques in the current market, with smartphones commonly adopting capacitive fingerprint sensors for a biometric identification method.
The Internet of Things is another fast-growing area that has increasing demands for authentication techniques. Capacitive fingerprint sensors are again a popular choice due to the compact size and low power consumption of the hardware.
Apart from biometric applications, capacitive fingerprint sensors have also been used for skin measurements, such as water content and solvent penetration measurements, as well as skin texture and skin micro-relief measurements, and so on. Machine learning and deep learning have also been used for analysing capacitive skin images.
I am excited to be the Guest Editor of this Special Issue. This Special Issue targets researchers working in the field of capacitive fingerprint sensors, as well as the end-users who utilise the sensors for their own applications. We hereby invite the international community with expert knowledge of capacitive fingerprint sensors to participate in this high impact journal, aiming at the proper dissemination of our research.
Prof. Perry Xiao
Guest Editor
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Keywords
- Capacitive fingerprint sensors
- Biometric sensing
- Internet of Things
- Machine learning
- Deep learning
- Skin hydration
- Skin texture
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