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Proceedings ArticleDOI

Simultaneous latent fingerprint recognition: A preliminary study

TLDR
This paper presents a semi-automatic approach to process the impressions of any individual using a fingerprint database that contains simultaneous latent impressions and analyzes the performance of the proposed approach obtained by matching simultaneous impressions with the gallery database.
Abstract
Recent cases such as Commonwealth v Patterson show that there is a lack of research in how to process and recognize simultaneous fingerprint impressions, especially when none of the latent prints in the cluster could be individually matched. SWGFAST released the first version of the standard on simultaneous impression examination that can help fingerprint examiners to systematically compare latent simultaneous impressions to a known ten-print card. However, when the individual is not known, the simultaneous fingerprint impressions have to be compared using a large database of reference ten-prints, making the process very challenging. This paper introduces the research problem of identifying simultaneous latent fingerprint impressions to the community and presents a semi-automatic approach to process the impressions of any individual. The approach generates a list of top matches and latent fingerprint examiners can then examine them for individualization. Using a fingerprint database that contains simultaneous latent impressions, we analyze the performance of the proposed approach obtained by matching simultaneous impressions with the gallery database.

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Citations
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Proceedings ArticleDOI

On matching latent to latent fingerprints

TL;DR: A comparative analysis of existing algorithms is presented for this application, fusion and context switching frameworks are presented to improve the identification performance, and a multi-latent fingerprint database is prepared.
Proceedings ArticleDOI

Hierarchical fusion for matching simultaneous latent fingerprint

TL;DR: An automated hierarchical fusion approach is proposed for fusing evidences from multiple latent impressions and IIITD simultaneous latent fingerprint database is prepared to drive further research in this area.
Journal ArticleDOI

Simultaneous latent fingerprint recognition

TL;DR: A semi-automatic approach to process and analyze simultaneous latent fingerprints that demonstrates that comparisons can be made from a database of ten-prints for a more comprehensive search instead of the time consuming manual approach used by latent fingerprint examiners.
Proceedings ArticleDOI

Evaluation of fusion methods for latent fingerprint matchers

TL;DR: Numerical results show it is possible to reduce the final candidate list to two to six candidates, with the probability that the true mate appears in the top (first) position boosted by 6-15%-points.

On simultaneous latent fingerprint matching

TL;DR: An automated two-level fusion technique for fusing evidences from multiple ridge impressions and a simultaneous latent fingerprint database is created to drive research in this problem.
References
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Journal ArticleDOI

A multichannel approach to fingerprint classification

TL;DR: This work presents a fingerprint classification algorithm which is able to achieve an accuracy better than previously reported in the literature and is based on a two-stage classifier to make a classification.
Journal ArticleDOI

Detecting the fingerprint minutiae by adaptive tracing the gray-level ridge

TL;DR: A minutiae detection procedure based on adaptive tracing the gray-level ridge of the fingerprint image with piecewise linear lines of different length is presented, which will greatly reduce the computational time.
Reference EntryDOI

Daubert v. Merrell Dow Pharmaceuticals

Ann C. Smith
TL;DR: Daubert v. Merrell Dow Pharmaceuticals is the landmark US Supreme Court case dealing with the admissibility of forensic expert opinion testimony as discussed by the authors, which is considered the most important American Court decision dealing with forensic evidence ever decided, and its ultimate impact on expert witnessing is also called in question.
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