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, Chichang; Lee, Hung-Chang
單位 淡江大學資訊管理學系
出版者 Kidlington: Pergamon
著錄名稱、卷期、頁數 Expert Systems with Applications 36(10), p.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 en_US
ISSN 0957-4174
期刊性質 國外
收錄於 SCI EI
產學合作
通訊作者 Jou, Chichang
審稿制度 否
國別 GBR
公開徵稿
出版型式 ,電子版
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