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Computerized feature retrieval of images : suspect identification

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      <subfield code="a">Lee, E.</subfield>
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      <subfield code="a">Computerized feature retrieval of images</subfield>
      <subfield code="b">: suspect identification</subfield>
      <subfield code="c">E. Lee and T. Whalen</subfield>
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      <subfield code="a">In suspect identification, witnesses examine photographs of known offenders in mug-shot albums. The probability of correct identification deteriorates rapidly, however, as the number of mug-shots examined increases. Feature approaches, where mu-shots are displayed in order of similarity to a witness's description of a suspect, attemp to increase identification success by reducing this number. A methodology is proposed for the design, development, and evaluation of these systems based on computer simulations, experiments and four classes of systems performance measures</subfield>
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      <subfield code="a">Whalen, T.</subfield>
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      <subfield code="t">Ergonomics</subfield>
      <subfield code="d">London and Washington</subfield>
      <subfield code="g">Vol. 38, nº 9, September, 1995 ; p. 1941-1957</subfield>
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