Award Date

1-1-2006

Degree Type

Thesis

Degree Name

Master of Science (MS)

Department

Computer Science

First Committee Member

Evangelos Yfantis

Number of Pages

73

Abstract

This research mainly focuses on recognizing the handwritten character. Several efficient algorithms have been developed by us so far to separate: the handwritten characters from printed text character, the lines, the words, and each character. In this thesis, we concentrate on how to increase the efficiency of recognition of segmented handwritten characters. Certain characters share common features unique to each other, different from the rest of characters. These subsets of characters with common features are then further analyzed by the classifier thereby reducing the number of comparisons that are required. This results increasing the speed of character recognition.

Keywords

Approach; Character; Hierarchical; Recognition

Controlled Subject

Computer science

File Format

pdf

File Size

1433.6 KB

Degree Grantor

University of Nevada, Las Vegas

Language

English

Permissions

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Identifier

https://doi.org/10.25669/pumt-n8p4


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