分析化学2025，Vol.53Issue(4)：579-589,中插9-中插11,14.DOI:10.19756/j.issn.0253-3820.251015
光学和电化学成像技术对墨水增强的潜指印多级特征的提取及分析
Multi-level Characteristic Extraction and Analysis of Ink-enhanced Latent Fingerprint Using Optical and Electrochemical Visualization Methods
摘要
Abstract
Due to the immaturity of visualization and quantitative analysis methods,the utilization rate of level 3 characteristics is seriously insufficient.In this work,based on the wet-membrane method and scanning electrochemical microscopy(SECM),and the introduction of conductive black ink to enhance the visualization effect,a systematic level 3 feature quantitative method was developed.Firstly,the feasibility and effect of the multi-level characteristics extraction strategy of latent fingerprints was investigated.Then,the influences of various deposition conditions on the level 3 features were explored.The results showed that the higher the deposition pressure,the wider the ridges,and the smaller the pore size.Moreover,excessive oil content could cause the pore size to be smaller and even been covered.Subsequently,the quantitative method was established from various pore characteristics such as pore number,pore activity,pore size,pore-to-pore distance and pore-to-pore angle.The stability of the level 3 features(pore number,pore-to-pore distance and pore-to-pore angle)was confirmed via repeated experiments on the same fingerprint region.After stability test,the recognition ability of three indicators was investigated for different fingerprints,verifying the uniqueness of pore-to-pore distance and pore-to-pore angle.Finally,a multiple recognition strategy was proposed that combined frequency distribution fitting curves for pore-to-pore distance and angle with other level 3 details,and was successfully applied to incomplete fingerprint recognition.This ink-enhanced optical and electrochemical extraction method and quantitative analysis provided a new path for fingerprint recognition.关键词
潜指印/三级特征/汗孔/扫描电化学显微镜/湿膜法Key words
Latent fingerprint/Level 3 characteristics/Sweat pores/Scanning electrochemical microscopy/Wet-membrane method引用本文复制引用
张岩峰,陈虹宇,刘璐,耿松,张美芹..光学和电化学成像技术对墨水增强的潜指印多级特征的提取及分析[J].分析化学,2025,53(4):579-589,中插9-中插11,14.基金项目
国家自然科学基金项目(No.22274008)和智能警务四川省重点实验室开放课题项目(No.ZNJW2024KFMS002)资助. Supported by the National Natural Science Foundation of China(No.22274008)and the Open Fund of the Intelligent Policing Key Laboratory of Sichuan Province(No.ZNJW2024KFMS002). （No.22274008）
