Document Type


Date of Award


Degree Name

Master of Science in Computer and Information Science - (M.S.)


Computer and Information Science

First Advisor

David T. Wang


To handle noisy and distorted pattern is the use of similarity or distance measures. A similarity or distance measure can be defined between a representation of an unknown pattern and a representation of a prototype pattern. Recognition of the unknown pattern can be carried out on the basis of the maximum-similarity or minimum distance criterion (Bunke 1990) This approach is proposed to recognize the noisy or distorted character image. In this work, a directly string representation of the pattern ( prototype as well as unknown input) using the histogram method, a decision procedure for classification is the well known Levenshtein distance or weighted Levenshtein distance (Wanger 1974; Hall and Dowling 1980), the cost of a transformation is specially estimated, and typical elements of the sample set are chosen and a well known statistical decision--nearest neighbor classification (NN-classification) is applied.(P. A. Devijver and J. Kitler 1982) Experiments show that it is an efficient method and it gives satisfactory results.



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