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Hierarchical attributed graph repres...

Ren, Ying.

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Hierarchical attributed graph representation and recognition of handwritten Chinese characters.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Hierarchical attributed graph representation and recognition of handwritten Chinese characters./
Author:	Ren, Ying.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 1991,
Description:	184 p.
Notes:	Source: Masters Abstracts International, Volume: 31-04, page: 1840.
Contained By:	Masters Abstracts International31-04.
Subject:	Computer science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MM78132
ISBN:	9780315781320

Hierarchical attributed graph representation and recognition of handwritten Chinese characters.
Ren, Ying.

Hierarchical attributed graph representation and recognition of handwritten Chinese characters. - Ann Arbor : ProQuest Dissertations & Theses, 1991 - 184 p.

Source: Masters Abstracts International, Volume: 31-04, page: 1840.

Thesis (M.Sc.)--Memorial University of Newfoundland (Canada), 1991.

This thesis presents a system which is capable of recognizing handwritten Chinese characters. The hierarchical attributed graph representation (HAGR), a two-level graph, is introduced to describe the structural and statistical information of hand-written Chinese characters. The first level describes radicals and relations between radicals within a character, the second level describes strokes and relations between strokes in a radical. With HAGR, the recognition process becomes a simple task of graph matching. Based on HAGR, the model database is organized as a heterogeneous multi-way tree structure. For an input character, the search process can be divided into a number of simple and local decisions at different levels of the tree to find a corresponding model character in the database. The matching process is very efficient and accurate, and as well the system can acquire representations of characters by a learning process. Several HAGRs of samples of a character can be synthesized into a single HAGR of the character which can then be included in the model database. (Abstract shortened by UMI.).

ISBN: 9780315781320Subjects--Topical Terms:

523869
Computer science.

Hierarchical attributed graph representation and recognition of handwritten Chinese characters.
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245 1 0 $a Hierarchical attributed graph representation and recognition of handwritten Chinese characters.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 1991
300 $a 184 p.
500 $a Source: Masters Abstracts International, Volume: 31-04, page: 1840.
502 $a Thesis (M.Sc.)--Memorial University of Newfoundland (Canada), 1991.
520 $a This thesis presents a system which is capable of recognizing handwritten Chinese characters. The hierarchical attributed graph representation (HAGR), a two-level graph, is introduced to describe the structural and statistical information of hand-written Chinese characters. The first level describes radicals and relations between radicals within a character, the second level describes strokes and relations between strokes in a radical. With HAGR, the recognition process becomes a simple task of graph matching. Based on HAGR, the model database is organized as a heterogeneous multi-way tree structure. For an input character, the search process can be divided into a number of simple and local decisions at different levels of the tree to find a corresponding model character in the database. The matching process is very efficient and accurate, and as well the system can acquire representations of characters by a learning process. Several HAGRs of samples of a character can be synthesized into a single HAGR of the character which can then be included in the model database. (Abstract shortened by UMI.).
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