Author Type

Graduate Student

Date of Award

1988

Document Type

Thesis

Publication Status

Version of Record

Submission Date

October 2026

Thesis/Dissertation Advisor [Chair]

Sudhakar, Raghavan

Abstract

This thesis deals with the recognition of digitized handprinting characters. Digitized character images are thresholded, binarized and converted into 32 x 32 matrices. The binarized character matrices are preprocessed to remove noise and thin down to one pixel per linewidth. For dominant features, namely, (1) number of loops, (2) number of end-pixels, (3) number of 3-branch-pixels, and (4) number of 4-branch-pixels, are used as criteria to pre-classify characters into 14 groups. Characters belonging to larger groups are encoded into chain code and compiled into a data base. Recognition of characters belonging to larger groups is achieved by data base look-up and or decision tree tests if ambiguities occur in the data base entries. Recognition of characters belonging to the smaller groups is doned by decision tree tests.

Extent

229 p.

Comments

College of Engineering and Computer Science|Thesis (M.S.E.)--Florida Atlantic University, 1988.|FAU Electronic Theses and Dissertations Collection|College of Engineering and Computer Science

Identifier

FADT14486

Format

pdf

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