A full screen biometric identification approach for oled displays by using near-infrared oled

Chi Hao Lin, Karim S. Karim, Ya Hsiang Tai

Research output: Contribution to journalConference articlepeer-review

Abstract

In this paper, we propose a full screen biometric identification approach for organic light emitting diode (OLED) displays using a near infra-red(NIR) OLED coupled to a large area thin film transistor (TFT) pixel sensing circuit. Preliminary estimates for photons propagating from the NIR OLED source and reflecting back to the subpixel are presented. Although the signal landing on the subpixel is small, it may be amplified by the large area active pixel sensor circuits integrated in the TFT layer. The proposed approach has the key advantage of compatibility with existing large area fabrication processes. Although there are still some open technical issues such as NIR OLED lifetime, responsivity and sensor characteristics, the proposed approach demonstrates the potential to implement a full screen biometric identification within a large area display.

Original languageEnglish
Pages (from-to)1855-1858
Number of pages4
JournalDigest of Technical Papers - SID International Symposium
Volume51
Issue number1
DOIs
StatePublished - 2020
Event57th SID International Symposium, Seminar and Exhibition, Display Week, 2020 - Virtual, Online
Duration: 3 Aug 20207 Aug 2020

Keywords

  • Biometric
  • Display
  • Near-Infrared (940nm)
  • Organic Light Emitting Diode(OLED)
  • Thin Film Transistors (TFT)

Fingerprint Dive into the research topics of 'A full screen biometric identification approach for oled displays by using near-infrared oled'. Together they form a unique fingerprint.

Cite this