Introduction to Information Retrieval
Introduction to Information Retrieval
Real-Time Retrieval for Images of Documents in Various Languages Using a Web Camera
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
Capturing Digital Ink as Retrieving Fragments of Document Images
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
Gaze guided object recognition using a head-mounted eye tracker
Proceedings of the Symposium on Eye Tracking Research and Applications
Pattern Recognition Letters
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This paper presents a method of improving the accuracy of document image retrieval focusing on the application to a camera-pen system. In a camera-pen system, document image retrieval is employed for locating the pen-tip position on a page. A serious problem is that since the camera is mounted close to the pen-tip, the camera captures only a tiny portion of the page and the resultant image is under severe perspective distortion, resulting in lowering the retrieval accuracy. To solve this problem, we propose new geometrically invariant features as well as expansion techniques which increase the number of index features of either the database or the query images. From the experimental results, it has been found that the query expansion technique with features by combining affine and perspective invariants allows us the best performance that improves the accuracy of a baseline method more than 27%.