| Autor: |
Amuji, HO, Okoroji, LI, Osuji, WI, Mbachu, JC, Obasi, A |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
|
| DOI: |
10.5281/zenodo.7765093 |
| Popis: |
In this paper, we developed the probability distribution for a fingerprint-based biometric identification model for crime prevention and control. We fitted Poisson distribution to the fingerprint data and applied Bayesian statistical model to determine and relate the prior to the posterior probabilities and determine the prior and posterior probabilities of the finger prints. The earlier information about the owner of the fingerprint is represented by the prior probabilities and the information from the individual on the second check of the fingerprint is represented by the posterior probabilities. Using the invariant property of biometric identification and classification, the system sees both probabilities as coming from one individual and hence classifies them as the owner of the finger print. The first person has a prior probability to be 1.54E-34 and the posterior probability to be 1.75E-14, etc. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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