Forensic shoe-print identification: a brief survey
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Abstract (arXiv)
As an advanced research topic in forensics science, automatic shoe-print identification has been extensively studied in the last two decades, since shoe marks are the clues most frequently left in a crime scene. Hence, these impressions provide a pertinent evidence for the proper progress of investigations in order to identify the potential criminals. The main goal of this survey is to provide a cohesive overview of the research carried out in forensic shoe-print identification and its basic background. Apart defining the problem and describing the phases that typically compose the processing chain of shoe-print identification, we provide a summary/comparison of the state-of-the-art approaches, in order to guide the neophyte and help to advance the research topic. This is done through introducing simple and basic taxonomies as well as summaries of the state-of-the-art performance. Lastly, we discuss the current open problems and challenges in this research topic, point out for promising directions in this field.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 5 Jan 2019.
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Citing papers per year: 2022: 1; 2023: 0; 2024: 1; 2025: 0; 2026: 1.
3 papers.
- 2022Creating a Forensic Database of Shoeprints from Online Shoe Tread Photoscited by 3
- 2024CriSp: Leveraging Tread Depth Maps for Enhanced Crime-Scene Shoeprint Matchingcited by 2
- 2026Sex Estimation from Footwear Outsole Impressions Using CNN Transfer Learning and Interpretable Image Statisticscited by 0
- 2026Sex Estimation from Footwear Outsole Impressions Using CNN Transfer Learning and Interpretable Image Statistics21 Sep 2026
- 2024CriSp: Leveraging Tread Depth Maps for Enhanced Crime-Scene Shoeprint Matching25 Apr 2024
- 2022Creating a Forensic Database of Shoeprints from Online Shoe Tread Photos4 May 2022