Invariant handwritten Chinese character recognition using fuzzy ring data

NCU Institutional Repository > 資訊電機學院 > 電機工程研究所 > 期刊論文 > Item 987654321/29349

請使用永久網址來引用或連結此文件: http://ir.lib.ncu.edu.tw/handle/987654321/29349

題名:	Invariant handwritten Chinese character recognition using fuzzy ring data
作者:	Tseng,DC;Chiu,HP;Cheng,JC
貢獻者:	電機工程研究所
關鍵詞:	ORDER NEURAL NETWORKS;PATTERN-RECOGNITION;OBJECT RECOGNITION;ROTATION;CLASSIFICATION;ALGORITHM;SYSTEM;REPRESENTATIONS;TRANSLATION;SCALE
日期:	1996
上傳時間:	2010-06-29 20:22:26 (UTC+8)
出版者:	中央大學
摘要:	An invariant handwritten Chinese character recognition system is proposed. Characters can be in arbitrary location, scale and orientation. Five invariant features are employed in this study. The first four features are used for preclassification to reduce matching time. The last feature, ring data, constructs ring-data vectors to characterize character samples and constructs weighted ring-data matrices to characterize characters to further reduce matching time. Fuzzy membership functions are defined based on these two characteristics to match characters. A character set is constructed from 200 handwritten Chinese characters and comprising several different samples of each character in arbitrary orientations. The performance of the proposed invariant features and fuzzy matching is verified through extensive experiments with the character set: (i) the performance of the proposed fuzzy matching is superior to that of two traditional statistical classifiers; (ii) the performance of the fuzzy ring-data vector is clearly superior to that of the fuzzy ring-data matrix, but the latter needed less matching time; (iii) the preclassification reduces the fuzzy matching time and improves the recognition rate; and (iv) the performance of the proposed invariant features is clearly superior to that of moment invariants.
關聯:	IMAGE AND VISION COMPUTING
顯示於類別:	[電機工程研究所] 期刊論文

文件中的檔案:

檔案	描述	大小	格式	瀏覽次數
index.html		0Kb	HTML	454	檢視/開啟

在NCUIR中所有的資料項目都受到原著作權保護.

社群 sharing

資料載入中.....