Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Display Technology
  • Vol. 12,
  • Issue 1,
  • pp. 77-81
  • (2016)

A Three-Terminal n+-p-n+ Silicon CMOS Light-Emitting Device for the New Fully Integrated Optical-Type Fingerprint Recognition System

Not Accessible

Your library or personal account may give you access

Abstract

A new fully integrated CMOS optical-type fingerprint recognition system with silicon light-emitting devices (LEDs) and photodiodes is proposed. A three-terminal n+-p-n+ silicon CMOS LED is designed and implemented as a key block to replace the bulky optical light source and to realize a slim and integrated fingerprint sensor. The proposed LED employs injection-enhanced silicon in an avalanche mode, where E-field confinement with a wedge shape at a reverse biased p-n+ junction and hot-carrier injection from the adjacent forward biased p-n+ junction are applied to increase the quantum conversion efficiency of the LED. The developed LED was fabricated in a 0.18 $\mu{{m}}$ CMOS process. It emits 1.27 nW at a 600 nm wavelength consuming 2 mA at a 0.5 V reverse biased voltage and 2 V forward biased voltage. It provides an electrical-to-optical power conversion efficiency of ${{1.27}}\times {{10}}^{-6}$ .

© 2015 IEEE

PDF Article
More Like This
Monolithic optical link in silicon-on-insulator CMOS technology

Satadal Dutta, Vishal Agarwal, Raymond J.E. Hueting, Jurriaan Schmitz, and Anne-Johan Annema
Opt. Express 25(5) 5440-5456 (2017)

Micro optical sensors based on avalanching silicon light-emitting devices monolithically integrated on chips

Kaikai Xu, Yanxu Chen, Timothy A. Okhai, and Lukas W. Snyman
Opt. Mater. Express 9(10) 3985-3997 (2019)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.