AIMC Topic: Forensic Sciences

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Frequency domain manipulation of multiple copy-move forgery in digital image forensics.

PloS one Jul 17, 2025
Copy move forgery is a type of image forgery in which a portion of the original image is copied and pasted in a new location on the same image. The consistent illumination and noise pattern make this kind of forgery more difficult to detect. In copy-...
Humans Image Processing, Computer-Assisted Algorithms Wavelet Analysis Deep Learning Forensic Sciences
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Enhancing forensic shoeprint analysis: Application of the Shoe-MS algorithm to challenging evidence.

Science & justice : journal of the Forensic Science Society Apr 21, 2025
Quantitative assessment of pattern evidence is a challenging task, particularly in the context of forensic investigations where the accurate identification of sources and classification of items in evidence are critical. Emerging deep learning approa...
Humans Databases, Factual Image Processing, Computer-Assisted Forensic Sciences Pattern Recognition, Automated Shoes Algorithms Deep Learning
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Investigating handheld near-infrared spectroscopy for forensic body fluid analysis.

Science & justice : journal of the Forensic Science Society Apr 20, 2025
Forensic casework and crime scene examination will often involve the identification and analysis of biological evidence found on a wide variety of surfaces. One type of biological evidence most commonly encountered at the crime scene is body fluids, ...
Female Male Spectroscopy, Near-Infrared Humans Forensic Sciences Body Fluids Blood Chemical Analysis Semen Saliva
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AI as a decision support tool in forensic image analysis: A pilot study on integrating large language models into crime scene investigation workflows.

Journal of forensic sciences Apr 4, 2025
This study evaluates the effectiveness of artificial intelligence (AI) tools (ChatGPT-4, Claude, and Gemini) in forensic image analysis of crime scenes, marking a significant step toward developing bespoke AI models for forensic applications. The res...
Image Processing, Computer-Assisted Workflow Forensic Sciences Decision Support Techniques Pilot Projects Large Language Models Humans Artificial Intelligence
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A dual-stream model based on PRNU and quaternion RGB for detecting fake faces.

PloS one Jan 28, 2025
The forensic examination of AIGC(Artificial Intelligence Generated Content) faces poses a contemporary challenge within the realm of color image forensics. A myriad of artificially generated faces by AIGC encompasses both global and local manipulatio...
Color Face Forensic Sciences Algorithms Image Processing, Computer-Assisted Humans Artificial Intelligence
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Automated identification of impact spatters and fly spots with a residual neural network.

Forensic science international Dec 20, 2024
In criminal investigations, distinguishing between impact spatters and fly spots presents a challenge due to their morphological similarities. Traditional methods of bloodstain pattern analysis (BPA) rely significantly on the expertise of professiona...
Image Processing, Computer-Assisted Pattern Recognition, Automated Blood Stains Forensic Sciences Machine Learning Humans Convolutional Neural Networks Neural Networks, Computer
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Integrating microbial profiling and machine learning for inference of drowning sites: a forensic investigation in the Northwest River.

Microbiology spectrum Dec 9, 2024
Drowning incidents present significant challenges for forensic investigators in determining the exact site of occurrence. Traditional forensic methods often rely on physical evidence and circumstantial clues, but the emerging field of forensic microb...
Machine Learning Microbiota Rivers Mice Forensic Sciences Animals Water Microbiology Bacteria Drowning Lung RNA, Ribosomal, 16S
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A first step towards a machine learning-based framework for bloodstain classification in forensic science.

Forensic science international Oct 31, 2024
Bloodstains found at a crime scene can help estimate the events that occurred during the crime. Reconstructing the crime scene by analyzing the bloodstain pattern contributes to understanding the bloody event. Therefore, it is essential to classify b...
Deep Learning Forensic Sciences Humans Blood Stains Machine Learning
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Classification of 3D shoe prints using the PointNet architecture: proof of concept investigation of binary classification of nike and adidas outsoles.

Forensic science, medicine, and pathology Sep 5, 2024
Shoe prints are one of the most common types of evidence found at crime scenes, second only to fingerprints. However, studies involving modern approaches such as machine learning and deep learning for the detection and analysis of shoe prints are qui...
Proof of Concept Study Humans Forensic Sciences Shoes Deep Learning Printing, Three-Dimensional
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Discrimination of coal geographical origins through HS-GC-IMS assisted with machine learning algorithms in larceny case.

Journal of chromatography. A Aug 30, 2024
The process of globalization and industrialization has resulted in a rise in the theft of coal and other related products, thereby becoming a focal point for forensic science. This situation has engendered an escalated demand for effective detection ...
Volatile Organic Compounds Forensic Sciences Ion Mobility Spectrometry Geography Coal Machine Learning Gas Chromatography-Mass Spectrometry Algorithms
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