Modeling the Distribution of Fingerprint Characteristics. Revision 1.

Abstract

This paper focuses on the distributional aspects of a study reported in three earlier articles--Osterburg, Parthasarathy, Raghavan, Sclove (1977), Sclove (1979), Sclove (1980a)--concerning the assignment of probabilities to partial fingerprints based on the numbers and locations of occurrences of the ten Galton characteristics. In the study a grid of cells was superimposed on the fingerprints. The number of characteristics in the cells is modeled as a multivariate two-way series (i.e., a multivariate stochastic process with two-dimensional indexing parameter). The statistical parameters were estimated from the data (fingerprints). Estimation of the probability of partial prints is illustrated. Some comparisons are made with the estimates provided by an assumption of independence between cells. Some analysis based on statistical results for infinitely divisible distributions is discussed.

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Document Details

Document Type
Technical Report
Publication Date
Sep 19, 1980
Accession Number
ADA096188

Entities

People

  • Stanley L. Sclove

Organizations

  • Northwestern University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Computer Programming
  • Data Analysis
  • Data Science
  • Fingerprints
  • Identification
  • Information Science
  • Markov Models
  • Mathematical Analysis
  • New York
  • Probability
  • Random Variables
  • Statistical Analysis
  • Statistical Distributions
  • Statistics
  • Stochastic Processes
  • Two Dimensional

Fields of Study

  • Mathematics

Readers

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  • Statistical inference.