頁籤選單縮合
題 名 | An Approach to Retrieval of OCR Degraded Text=OCR雜訊文件之檢索 |
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作 者 | 曾元顯; | 書刊名 | 圖書館學刊 |
卷 期 | 13 1998.12[民87.12] |
頁 次 | 頁153-168 |
分類號 | 028.7 |
關鍵詞 | OCR; 檢索; Optical character recognition; Information retrieval; Fault-tolerant retrieval; Keyword extraction; Fuzzy matching; |
語 文 | 英文(English) |
英文摘要 | The major problem with retrieval of OCR text is the unpredictable distortion of characters due to recognition errors. Because users have no ideas of such distortion, the terms they query can hardly match the terms stored in the OCR text exactly. Thus retrieval effectiveness is significantly reduced, especially for low-quality input. To reduce the losses from retrieving such noisy OCR text, a fault-tolerant retrieval strategy based on automatic keyword extraction and fuzzy matching is proposed. In this strategy, terms, correct or not, and their term frequencies are extracted from the noisy text and presented for browsing and selection in response to users' initial queries. With the understanding of the real terms stored in the noisy text and of their estimated frequency distributions, users may then choose appropriate terms for a more effective searching. A text retrieval system based on this strategy has been built. Examples to show the effectiveness are demonstrated. Finally, some OCR issues for further enhancing retrieval effectiveness are discussed. |
本系統中英文摘要資訊取自各篇刊載內容。