Statistical feature training improves fingerprint-matching accuracy in novices and professional fingerprint examiners

Bethany Growns; Alice Towler; James D. Dunn; Jessica M. Salerno; N. J. Schweitzer; Itiel E. Dror

doi:10.1186/s41235-022-00413-6

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JOURNAL ARTICLE

Statistical feature training improves fingerprint-matching accuracy in novices and professional fingerprint examiners

Bethany Growns Alice Towler James D. Dunn Jessica M. Salerno N. J. Schweitzer Itiel E. Dror

Year: 2022 Journal: Cognitive Research Principles and Implications Vol: 7 (1)Pages: 60-60 Publisher: Springer Nature

DOI: 10.1186/s41235-022-00413-6

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Keywords:

Fingerprint (computing) Matching (statistics) Feature (linguistics) Computer science Artificial intelligence Pattern recognition (psychology) Psychology Statistics Mathematics

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2.34

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0.85

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Topics

Biometric Identification and Security

Physical Sciences → Computer Science → Signal Processing

Forensic and Genetic Research

Life Sciences → Biochemistry, Genetics and Molecular Biology → Genetics

Statistical feature training improves fingerprint-matching accuracy in novices and professional fingerprint examiners

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Citation History

Topics

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