Date of Award

1985

Publication Type

Doctoral Thesis

Degree Name

Ph.D.

Department

Electrical and Computer Engineering

Keywords

Engineering, Electronics and Electrical.

Rights

info:eu-repo/semantics/openAccess

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Abstract

This thesis discusses the development of algorithms for the recognition of handwritten numeral strings in their various forms viz. isolated, broken and connected. For isolated numerals, the use of a new class of Fourier shape descriptors derived from the contours of the numeral together with a new class of topological features is shown to yield high recognition accuracy ((TURNEQ) 98%). For isolated and possibly broken numerals, a syntactic recognition algorithm that utilizes features derived from the left and right profiles of the numerals is shown to yield fast and accurate recognition. Finally, an algorithm for segmenting connected handwritten numeral strings has been developed and is shown to yield accurate segmentation. The segmented numerals are then identified by the syntactic recognition system.Dept. of Electrical and Computer Engineering. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis1985 .B337. Source: Dissertation Abstracts International, Volume: 46-08, Section: B, page: 2751. Thesis (Ph.D.)--University of Windsor (Canada), 1985.

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