Fingerprint Recognition Matrix Based on Photomultiplication-Type Organic Photodetectors with a Signal-to-Noise Ratio of 51,400

Qi Yao, Shipei Li, Yunke Qin, Xingchao Zhao, Lei Wang, Yangbing Li, Sang Young Jeong, Xiaoling Ma, Han Young Woo, Fujun Zhang*, Zhinong Yu*, Guangcai Yuan*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Large-area and highly sensitive image sensors are vital for undercell fingerprint recognition technology. The photomultiplication-type organic photodetector (PM-OPD) is one of the alternative choices due to its special active layers with the ratio of donor to acceptor by weight of about 100:3 for achieving single charge carrier transport channels, resulting in relatively low dark current density and high external quantum efficiency under low bias. The optimal PM-OPDs exhibit a maximal 2.1 × 1012 Jones specific detectivity at 610 nm under −6 V bias and a high signal-to-noise ratio of 51,400 at −5.2 V bias. Solution-processed PM-OPDs were prepared onto the top of a polycrystalline-silicon thin-film transistor readout circuit, and image sensors were successfully realized with 338 pixels resolution per inch. The electrical and optical properties of the fingerprint sensor were investigated, and high-quality fingerprint images were obtained.

Original languageEnglish
Pages (from-to)15709-15717
Number of pages9
JournalACS Applied Materials and Interfaces
Volume17
Issue number10
DOIs
Publication statusPublished - 12 Mar 2025

Keywords

  • fingerprint sensor
  • organic photodetectors
  • photomultiplication
  • readout circuit
  • silicon thin-film transistor

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