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Character recognition has been in importance for several decades. Lot of research interest are now focused on applying pattern recognition and computer vision algorithms on camera captured documents to retrieve information from the documents. This paper presents a novel approach for extracting text in camera captured images using edge based algorithm. Extensive experiments have been carried out on...
In order to retrieve the character images but avoid the OCR system which is limited in some application, a method for Chinese characters retrieval is presented in this paper. It firstly extracts the improved contour feature of Chinese character images, which is used to match roughly. Then, the candidate character images attained above are divided by the centroid of each one. For each part divided,...
With more appropriate linkage of digital libraries to Web resources, online-browsing of research papers would be much comfortable since many digital libraries of research papers are online and accessible from the Web. This paper proposes a browsing support system for reading research papers online with the use of OCRed text of scanned academic articles. Our digital library stores scanned document...
We propose a real-time retrieval method for document images in various languages. In this method, queries are images of documents captured by a web-camera. The document images corresponding to the queries are retrieved from the document image database in real time. Since we have already proposed a document image retrieval method for English documents, the proposed method is an extension for retrieval...
Script identification has always been a topic of much research interest in the field of document analysis. The accurate determination of the identity of the script is paramount to many post-processing steps such as document sorting, translation and in determining the choice of linguistic resources to use for OCR or handwriting recognition. However, few works exist with regards to the identification...
This paper proposes an aggregative query generation which exploits a media document representation called feature term to create a query from multiple media examples, e.g. images. A feature term denotes an interval of one media feature dimension, such as a bin in colour histogram. This approach (1) can easily accumulate features from multiple query examples to generate an efficient query; (2) enables...
With the popularity and importance of document images as an information source, information retrieval in document image databases has become a challenge. In this paper, an approach with the capability of matching partial word images to address two issues in document image retrieval: word spotting and similarity measurement between documents has been proposed. Initially, each word image is represented...
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