會議論文
| 學年 | 91 |
|---|---|
| 學期 | 1 |
| 發表日期 | 2002-12-18 |
| 作品名稱 | Handwritten Numeral Recognition Based on Reduced Features Extraction and Fuzzy Membership Functions |
| 作品名稱（其他語言） | |
| 著者 | Jou, Chichang;Hsiao, Tai-Yuan;Lee, Hung-Chang |
| 作品所屬單位 | 淡江大學資訊管理學系 |
| 出版者 | |
| 會議名稱 | 二00二年國際計算機會議=The 2002 International Computer Symposium |
| 會議地點 | 花蓮縣, 臺灣 |
| 摘要 | Structured classification has been adopted to recognize handwritten numerals by extracting feature primitives that characterize each image. We propose a handwritten numeral recognition system based on reduced features extraction and fuzzy membership functions, with the intention to find a minimal set of feature primitive without sacrificing the recognition rate. We first perform preprocessing of smoothing and thinning to obtain a skeleton for each image. For each skeleton, the following feature points are detected: terminal intersections, and directional. We then extract the following five feature primitives for each skeleton: loop, horizontal, vertical, C-like curve, and D-like curve. Two fuzzy S-functions are used as membership functions to estimate the likelihood of these primitives being close to the top and to the bottom of the image. A tree-like classifier based on the feature primitives and fuzzy membership is then applied to recognize the numerals. Handwritten numerals in NIST Special Database 19 are recognized with 88.72% correct rate. |
| 關鍵字 | 手寫數字辨識;特徵萃取;隸屬函數;結構化分類;模糊資訊檢索;Handwritten Numeral Recognition;Feature Extraction;Membership Function;Structural Classification;Fuzzy Information Retrieval |
| 語言 | en |
| 收錄於 | |
| 會議性質 | 國際 |
| 校內研討會地點 | |
| 研討會時間 | 20021218~20021221 |
| 通訊作者 | |
| 國別 | TWN |
| 公開徵稿 | Y |
| 出版型式 | 紙本 |
| 出處 | 二00二年國際計算機會議論文集(II)=Proceedings of the 2002 International Computer Symposium (Volume II)，頁1705-1711 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/95092 ) |