Abstract
Latent fingerprinting, which provides a mechanism to lift the unintentional impressions left at crime scenes, has been highly significant in forensic analysis and authenticity verification. It is extremely crucial for law enforcement and forensic agencies. However, due to the accidental nature of these impressions, the quality of prints uplifted is generally very poor. There is a pressing need to design novel methods to improve the reliability and robustness of latent fingerprinting techniques. A systematic review is, therefore, presented to study the existing methods for latent fingerprint acquisition, enhancement, reconstruction, and matching, along with various benchmark datasets available for research purposes. The paper also highlights various challenges and research gaps to augment the research in this direction that has become imperative in this digital era.
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Dhaneshwar, R., Kaur, M. (2021). Latent Fingerprinting: A Review. In: Hassanien, A.E., Bhattacharyya, S., Chakrabati, S., Bhattacharya, A., Dutta, S. (eds) Emerging Technologies in Data Mining and Information Security. Advances in Intelligent Systems and Computing, vol 1300. Springer, Singapore. https://doi.org/10.1007/978-981-33-4367-2_5
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