journal article·2025-03-12

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

ACS Applied Materials & Interfaces· Volume 17· Issue 10
Publisher page

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 × 10 12 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.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Luminescence and Fluorescent Materials · Forensic Fingerprint Detection Methods · Polydiacetylene-based materials and applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Optics and Photonics

Beijing Institute of Technology

BOE Technology Group Co., LTD, No. 9 Dize Road, Beijing 100176, China

Advanced Organic Materials and Devices Laboratory, School of Physical Science and Engineering

Beijing Jiaotong University

Organic Optoelectronic Materials Laboratory, College of Science

Korea University

Funding

Natural Science Foundation of Beijing Municipality · National Natural Science Foundation of China · Beijing BOE Technology Group Co., LTD

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