教師資料查詢 | 類別: 期刊論文 | 教師: 李鴻璋 Lee Hung-chang (瀏覽個人網頁)

標題:Handwritten numeral recognition based on simplified structural classification and fuzzy memberships
學年98
學期1
出版(發表)日期2009/11/01
作品名稱Handwritten numeral recognition based on simplified structural classification and fuzzy memberships
作品名稱(其他語言)
著者Jou, hichang; Lee, Hung-chang
單位淡江大學資訊管理學系
出版者Elsevier
著錄名稱、卷期、頁數Expert Systems with Applications 36(9), pp.11858–11863
摘要Previous handwritten numeral recognition algorithms applied structural classification to extract geometric primitives that characterize each image, and then utilized artificial intelligence methods, like neural network or fuzzy memberships, to classify the images. We propose a handwritten numeral recognition methodology based on simplified structural classification, by using a much smaller set of primitive types, and fuzzy memberships. More specifically, based on three kinds of feature points, we first extract five kinds of primitive segments for each image. A fuzzy membership function is then used to estimate the likelihood of these primitives being close to the two vertical boundaries of the image. Finally, a tree-like classifier based on the extracted feature points, primitives and fuzzy memberships is applied to classify the numerals. With our system, handwritten numerals in NIST Special Database 19 are recognized with correct rate between 87.33% and 88.72%.
關鍵字Handwritten numeral recognition;Feature extraction;Structural classification;Fuzzy memberships
語言英文(美國)
ISSN0957-4174
期刊性質
收錄於SCI;EI
產學合作
通訊作者
審稿制度
國別
公開徵稿
出版型式
相關連結
Google+ 推薦功能,讓全世界都能看到您的推薦!