Abstract | ||
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This communication presents an effective method for information retrieval from historical document image base. Proposed approach is based on word and character extraction in the text and attributing certain feature vectors to each of the character images. Words are matched by comparing their characters through a multi-stage Dynamic Time warping (DTW) stage on the extracted feature set. The approach exhibits extremely promising results reading more than 96% retrieval/recognition rate. |
Year | Venue | Keywords |
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2010 | KDIR 2010: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND INFORMATION RETRIEVAL | Information retrieval,Word spotting,Dynamic Time Warping (DTW),Ancient document images,Edit distance |
Field | DocType | Citations |
Data mining,Automatic image annotation,Information retrieval,Document clustering,Computer science,Image retrieval,Document retrieval,Visual Word,Historical document | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Khurram Khurshid | 1 | 129 | 15.94 |
Imran Siddiqi | 2 | 421 | 36.56 |
Claudie Faure | 3 | 133 | 10.62 |
Nicole Vincent | 4 | 195 | 12.09 |