Accession Number : AD0760762

Title :   Investigation of Feature Selection Criteria for Pattern Recognition Models Including the Fourier Transmission.

Descriptive Note : Master's thesis,

Corporate Author : AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH SCHOOL OF ENGINEERING

Personal Author(s) : Olson, Edwin A.

Report Date : MAR 1973

Pagination or Media Count : 80

Abstract : Feature selection is of fundamental importance in pattern recognition. The investigation evaluates and compares 10 feature selection criteria. The two-dimensional, discrete Fourier transform is specified so that the low-pass spatial filter criterion can be included in the comparison. Feature space extraction and feature space evaluation processes are modeled and implemented. Two sets of data consisting of handprinted characters are used in a series of experiments that extract feature spaces corresponding to the various criteria and evaluate the feature spaces by a class separability measure and an error estimate. The results are tabulated for comparison and conclusions are drawn on the empirical and theoretic bases established. (Modified author abstract)

Descriptors :   *PATTERN RECOGNITION, FOURIER ANALYSIS, TRANSFORMATIONS, CLASSIFICATION, GRAPHICS, INFORMATION THEORY, ENTROPY, ALGORITHMS, THESES.

Subject Categories : Cybernetics

Distribution Statement : APPROVED FOR PUBLIC RELEASE