Biometric authentication security enhancement under quantum dot light-emitting diode display via fingerprint imaging and temperature sensing

• Published in: Scientific reports Vol. 13; no. 1; pp. 794 - 11
• Main Authors: Jung, Hanyung, Sim, Soobin, Lee, Hyunkoo
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 16.01.2023; Nature Publishing Group; Nature Portfolio
• Subjects: 639/166/987; 639/624/1020/1089; 639/624/1020/1091; 639/624/1075/1083; 639/624/1075/146; 639/624/1075/401; 639/624/399/1017; 639/624/399/354; 639/624/399/918; 639/925/918; 639/925/927/1007; 639/925/927/511; Biometric Identification; Biometrics; Body temperature; Diagnostic Imaging; Humanities and Social Sciences; Humans; Light emitting diodes; multidisciplinary; Quantum Dots; Science; Science (multidisciplinary); Temperature; Thermosensing
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-023-28162-6

We improved biometric authentication security using dual recognition based on fingerprint image detection and skin-temperature-change sensing under quantum dot light-emitting diode (QLED) displays. QLEDs are more advantageous than organic light-emitting diodes (OLEDs) in terms of the contrast classification of patterns such as those in fingerprint recognition, owing to their narrow full-width-half-maximum. In this work, scattered, transmitted, and reflected light was captured from the top of the QLED, improving the digital luminance by 25%, as compared with that of OLEDs, because the electroluminescence spectra of the QLED were sustained, whereas those of the OLED were distorted by the generated noise peaks. A QLED with eight apertures sized up to tens of micrometers, mimicking the actual wiring structure of commercialized smartphones, was implemented to detect human fingerprints. The QLED using reduced graphene oxide as the temperature sensor detected temperature changes instantaneously upon finger touch, showing a 2% temperature response based on the human body temperature; however, the temperature change was less than 0.1% for spoof fingerprints printed on paper. Thus, this study successfully enhanced biometric authentication security, through fingerprint recognition based on image sensing using an optical system with micrometer-sized apertures and skin-temperature detection under QLED displays.