Name
Abstract | ||
|---|---|---|
In this paper we propose a configurable CMOS capacitive fingerprint that has two configuration modes for charge detection in each cell pixel. The readout circuit can be configured to operate with/without analog-to-digital converter (ADC). One of the configuration modes utilize in-cell pixel comparator which provides an instant decision of the finger features (Ridge = 1 or Valley = 0). While, the other one uses a programmable gain amplifier (PGA) to provide the detected signal to an ADC. The simulation results show the difference between the output of both configurations. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/ICM.2018.8704057 | 2018 30th International Conference on Microelectronics (ICM) |
Keywords | Field | DocType |
Fingerprint recognition,Fingers,Sensors,Capacitance,Electronics packaging,Solid state circuits,Microelectronics | Capacitance,Comparator,Fingerprint recognition,Computer science,Electronic engineering,Fingerprint,CMOS,Capacitive sensing,Pixel,Programmable-gain amplifier | Conference |
ISSN | ISBN | Citations |
2159-1679 | 978-1-5386-8167-1 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hossam Hassan | 1 | 0 | 1.69 |
| Hyungwon Kim | 2 | 30 | 14.13 |
| Sameh Ibrahim | 3 | 0 | 0.34 |