Keyword Spotting on Hangul Document Images Using Image-to-Image Matching
نویسندگان
چکیده
منابع مشابه
Keyword Spotting on Hangul Document Images Using Two-Level Image-to-Image Matching
A lot of printed documents and books has been published and saved as a form of images in digital libraries. Searching for a specified query word on document images is a challenging problem. The OCR software helps the images to be converted to the machine readable documents to search a full context [1]. Another approach [1, 2] is image-based one, in which both the document images and word inform...
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Keyword Spotting is a well-known method in document image retrieval. In this method, Search in document images is based on query word image. In this Paper, an approach for document image retrieval based on keyword spotting has been proposed. In proposed method, a framework using relevance feedback is presented. Relevance feedback, an interactive and efficient method is used in this paper to imp...
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In this paper, we propose a keyword spotting system for Korean document images and compare the proposed system with an OCR-based document retrieval system. The system is composed of character segmentation, feature extraction for the query keyword, and word-to-word matching. In the character segmentation step, we propose an effective method to resolve the connection between adjacent characters. ...
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ژورنال
عنوان ژورنال: The KIPS Transactions:PartB
سال: 2005
ISSN: 1598-284X
DOI: 10.3745/kipstb.2005.12b.3.357