Integrated Framework for Touch and Fingerprint Sensing: A Unified and an In-Cell Approach
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In today's technology-driven world, it is essential to build secure systems with low faulty behavior. Authentication is one of the primary means to gain access to secure systems. Users need to be authenticated in order to gain access to the services and sensitive information contained within the system. Due to the surge in the number of touch-based smart devices, there arises a need for a compatible authentication system. Historically, fingerprints have served in its fullest capacity to establish the uniqueness of an individual's identity and can be detected using capacitive sensing techniques. This thesis is the result of implementing innovative ideas that will revolutionize the way security will be perceived in the near future. This thesis presents two novel approaches using transparent electronics that can sense fingerprint scan and multi-touch gestures. A high resolution transparent touch-sensitive device and read out circuits are discussed. The readout circuit drives the capacitive sensor array for touch interactions at low resolutions and for fingerprint sensing at higher resolutions. In addition, the thesis discusses a novel In-Cell fingerprint sensor architecture that embeds the capacitive fingerprint sensor along with the display. The results are shown with the help of circuit simulation tools and custom Verilog-A model for transparent thin-film transistors. The results show that such devices can be realized and can serve as a very efficient means of user authentication. Furthermore, from the usability aspect, the proposed device is essential as it provides user transparent and non-intrusive authentication.