Red Fluorescent Carbon Dot Powder for Accurate Latent Fingerprint Identification using an Artificial Intelligence Program

• Published in: ACS applied materials & interfaces Vol. 12; no. 26; pp. 29549 - 29555
• Main Authors: Dong, Xiang-Yang, Niu, Xiao-Qing, Zhang, Zheng-Yong, Wei, Ji-Shi, Xiong, Huan-Ming
• Format: Journal Article
• Language: English
• Published: American Chemical Society 01.07.2020
• Subjects: artificial intelligence; carbon quantum dots; dusting; fluorescence; Functional Nanostructured Materials (including low-D carbon); starch; fingerprint; carbon dots; red fluorescence; analysis; artificial intelligence

Development and comparison of the latent fingerprints (LFPs) are two major studies in detection and identification of LFPs, respectively. However, integrated research studies on both fluorescent materials for LFP development and digital-processing programs for LFP comparison are scarcely seen in the...