A CMOS Fingerprint System-on-a-Chip With Adaptable Pixel Networks and Column-Parallel Processors for Image Enhancement and Recognition

The 2021 flexible and printed electronics roadmap

“…The OPRA in the R2R gravure system should be improved more and more hopefully up to ±5 µm and thus, reducing the gate width and channel length to 20 µm. The more precise registration will lead to the more integrated CMOS logic gates in a limited area [110]. To reach the OPRA of ±5 µm, the web expansion and contraction while passing the drying or curing chambers need to be well simulated and controlled.…”

A hardware solution for real-time intelligent fingerprint acquisition

“…Implementation results in terms of timing and area depend on the image size because the size of line buffers that allow the parallel data processing is [Kim et al (2008)] and [Fons et al (2005)], respectively). Real-time constraints are satisfied since the total execution time for acquiring and processing a fingerprint image is low: 0.04 ms for 96x96 fingerprint images, 0.21 ms for 236x192 fingerprint images, and 0.67 ms for 374x388 fingerprint images (working at the maximum frequencies of 241 MHz, and 216 MHz for the two last cases).…”

A study on slim optical fingerprint sensor for fake fingerprint detection on mobile environment

“…The light is reflected at the fingerprint (as they pass through(valleys) or reflect off objects(ridges)). The sensor is to offer greater durability and reliability, providing lower cost and longer life, but they cannot be miniaturized due to optical characteristic (the distance between the prism and the image sensor) [3][4][5][6].…”