Research On Target Extraction Algorithm Of Infrared Criminal Investigation Fingerprint Image

With the development and progress of society,various criminal investigation technologies in the field of criminal investigation are constantly developing and improving.Among them,infrared imaging technology is widely used in the field of criminal investigation in recent years.This technology can detect the thermal radiation information left by objects at the scene of the crime,and collect invisible traces through thermal radiation information detection.The collection and analysis of the invisible traces left at the crime scene will help to promote the progress of the case,improve the efficiency of handling the case and provide new possibilities for the collection of case evidence.This paper studies the infrared criminal investigation fingerprint image collected at the actual crime scene,specifically analyzes the problem types of infrared criminal investigation fingerprint image,designs a targeted target extraction algorithm combined with image features,and carries out simulation experiment analysis.The main research contents include:1.In order to solve the problem of fingerprint overlap in infrared criminal investigation fingerprint image,an infrared criminal investigation overlapping fingerprint target extraction algorithm based on variable threshold and coordinate transformation fusion is proposed.Firstly,the algorithm uses the simplicity and efficiency of the threshold algorithm to process the image,determines the best threshold,and extracts the whole fingerprint area and the fingerprint overlap area respectively;Then,aiming at the problem that overlapping fingerprints are difficult to extract separately,coordinate transformation method and image rotation method are designed to adjust the preliminary extraction results;Finally,combined with the image fusion algorithm,the individual extraction of overlapping fingerprint targets is realized.2.In order to solve the problem of complex background in infrared criminal investigation fingerprint target extraction,an infrared complex background fingerprint target extraction algorithm based on Cooperative immune mechanism is proposed.Through the synergistic mechanism of innate immune factors and adaptive immune factors and the different recognition and processing principles of antigens,the cooperative immune factor mechanism network is designed to remove the complex background step by step by using the synergistic mechanism of two immune factors,so as to remove the complex background in the infrared fingerprint target.3.In order to solve the problem of fingerprint depth ambiguity in infrared criminal investigation fingerprint target extraction,a depth blurred infrared fingerprint target extraction algorithm based on histogram equalization and gamma transform is proposed.Firstly,histogram equalization and gamma transform are used to modify the gray features and contrast of the fingerprint image,so as to reduce the fuzziness of the fingerprint target and improve the visualization effect;Then the fingerprint feature point model is constructed to locate the fingerprint target;Finally,the threshold algorithm is used to extract the target and morphology is used to optimize the extraction results to realize the target extraction of deep fuzzy infrared fingerprint image.The experimental part is verified by qualitative analysis and quantitative analysis.Qualitative analysis selects a variety of comparison algorithms to compare the quality of each experimental result;Quantitative analysis selects a variety of quantitative analysis indicators to compare the data of each experimental result.Analysis and comparison verify the accuracy,effectiveness and feasibility of each algorithm proposed in this paper.