An objective fingerprint quality-grading system
| Autor: | Stephanie F. Williams, Robert C. Shaler, Akhlesh Lakhtakia, Drew P. Pulsifer, Sarah A. Muhlberger |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Minutiae
Workstation Computer science business.industry computer.software_genre Pathology and Forensic Medicine law.invention Software law Image Processing Computer-Assisted Humans Computer vision Cyanoacrylates Artificial intelligence Data mining Dermatoglyphics Volatilization Grading (education) business Law computer Algorithms |
| Zdroj: | Forensic Science International. 231:204-207 |
| ISSN: | 0379-0738 |
| DOI: | 10.1016/j.forsciint.2013.05.003 |
| Popis: | The grading of fingerprint quality by fingerprint examiners as currently practised is a subjective process. Therefore, an objective system was devised to remove the subjectivity. The devised grading system is quantitative and uses three separate, easily available, software packages to ultimately identify the portions of a fingerprint that correspond to low-, medium-, and high-quality definitive minutiae as defined on the Universal Latent Workstation of the US Federal Bureau of Investigation. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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