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The Search-Match Problem

Published online by Cambridge University Press:  06 March 2019

Monte C. Nichols  and
Quintin Johnson
Monte C. Nichols
Affiliation:
Sandia Laboratories, Livermore, California 94550
Quintin Johnson
Affiliation:
Sandia Laboratories, Livermore, California 94550
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Extract

Identification or recognition of an unknown is a problem encountered in areas as diverse as X-ray diffraction, signature and voice verification, fingerprint identification, and spectroscopy(mass), infared(IR), ultraviolat(UV), Auger). Features uniquely characteristic of the unknown, which are used in the identification process, are called the “pattern” of that unknown. In a typical identification, the one or more sub-patterns (components) making up the unknown pattern are identified by a search through a set of known (standard) patterns to yield potential matches. This searching and matching can be done sucessfully by hand, especially if the number of patterns in the file of standards is not too great. When the number of phases which consititute the unknown pattern becomes extremely large the use of computers becomes a practical necessity if the search is to be conducted in a reasonable time. A comparison of X-ray search-match approaches with each other and with search-match capabilities existing in other fields may lead to better X-ray phase identification techniques.

Type
Use of Computers in Powder Diffraction
Information
Advances in X-Ray Analysis , Volume 23: Twenty-Eighth Annual Conference on Applications of X-ray Analysis, July 30 - August 3, 1979 , 1979 , pp. 273 - 278
Copyright
Copyright © International Centre for Diffraction Data 1979

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