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A Comprehensive Review on Computer Vision and Fuzzy Logic in Forensic Science Application

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Abstract

Criminalistics is another name for forensic science. It uses science in a criminal investigation as governed by judicial criteria of acceptable, relevant, and admissible evidence and criminal procedure. Forensic science has been around for a long time and has seen considerable changes, from fingerprint identification to DNA analysis and digital forensics. The study focuses on the most critical technologies in forensic science, then deconstructs numerous computer vision, image processing, and fuzzy logic methodologies in the large subject of forensic research. It also addresses the prospects for using the technology in approaches ranging from biometric identification to a 3D reconstruction of a crime scene. To some extent, adopting the numerous methodologies outlined in the paper helps overcome the disadvantages and challenges of traditional forensics procedures. Furthermore, some constraints are taken into account. For example, in various ways, the primary evidence is pre-processed and translated to an intermediate or more lucid form before the crux algorithms are applied. As a result, there is still plenty of room for research in this subject, such as developing solid algorithms, making the technology accept raw data, etc. If utilized correctly, forensic science technology has the potential to affect a paradigm shift in the criminal justice system.

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Acknowledgements

The authors are grateful to Indus University, and Department of Chemical Engineering, School of Technology, Pandit Deendayal Energy University for the permission to publish this research.

Funding

Not Applicable.

Author information

Authors and Affiliations

  1. Department of Computer Science, Indus University, Ahmedabad, Gujarat, India

    Prarthi Thakkar, Darshil Patel, Isha Hirpara, Jinesh Jagani & Smit Patel

  2. Department of Chemical Engineering, School of Technology, Pandit Deendayal Energy University, Gandhinagar, Gujarat, 382426, India

    Manan Shah

  3. Department of Information Technology, Symbiosis Institute of Technology, Pune, Maharashtra, India

    Ameya Kshirsagar

Authors
  1. Prarthi Thakkar
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  2. Darshil Patel
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  3. Isha Hirpara
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  4. Jinesh Jagani
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  5. Smit Patel
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  6. Manan Shah
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  7. Ameya Kshirsagar
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Contributions

All the authors make substantial contribution in this manuscript. PT, DP, IH, JJ, SP MS, and AK participated in drafting the manuscript. PT, DP, IH, JJ, and SP wrote the main manuscript, all the authors discussed the results and implication on the manuscript at all stages.

Corresponding author

Correspondence to Manan Shah.

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Ethical Statement

Authors hereby declare that this manuscript is the result of our team’s independent creation under the reviewers’ comments. Except for the quoted contents, this manuscript does not contain any research achievements that have been published by other individuals and groups.

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Thakkar, P., Patel, D., Hirpara, I. et al. A Comprehensive Review on Computer Vision and Fuzzy Logic in Forensic Science Application. Ann. Data. Sci. 10, 761–785 (2023). https://doi.org/10.1007/s40745-022-00408-6

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  • DOI: https://doi.org/10.1007/s40745-022-00408-6

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