山东理工大学学报（自然科学版）2025，Vol.39Issue(4)：41-46,6.
基于STFT改进图像增强算法的模糊指纹痕迹检验技术
Research on fuzzy fingerprint trace detection technology based on STFT-improved image enhancement algorithm
摘要
Abstract
In order to improve the inspection effect of fuzzy fingerprint images,a new detection technology combining image enhancement and feature matching is proposed.This approach utilizes Short-Time Fourier Transform(STFT)to improve the estimation of key parameters,and enhances the images by the directional filtering.Then the neighborhood average method is applied to eliminate Gaussian noise and achieve different degrees of smoothing effect of fingerprint images.Finally,feature matching is per-formed using an improved algorithm based on ridge tracking.Simulation results indicate that the error mismatch rate of optical development method is generally higher than other fingerprint detection methods.When the number of fingerprint detection reaches 4 000,the error mismatch rate of chemical reaction method exceeds that of optical development method,reaching 0.058.With the increase of the number of detected fuzzy fingerprints,the error mismatch rate of the proposed method maintains at the lowest level.The error mismatch rate is the highest when the number of detected fingerprints is 4 000,with a specific value of 0.008.The experimental results show that compared with other fingerprint trace detection meth-ods,the proposed method has obvious advantage in detecting the error mismatch rate of fuzzy fingerprint traces.关键词
图像增强/特征匹配/痕迹检验/细节点Key words
image enhancement/feature matching/trace detection/point of detail分类
社会科学引用本文复制引用
张贝贝,罗松飞..基于STFT改进图像增强算法的模糊指纹痕迹检验技术[J].山东理工大学学报（自然科学版）,2025,39(4):41-46,6.基金项目
安徽省科研编制计划重点项目(2022AH053087) （2022AH053087）
