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| Content Provider | Springer Nature Link |
|---|---|
| Author | Wei, Hongxi Gao, Guanglai |
| Copyright Year | 2013 |
| Abstract | In this paper, we propose a keyword retrieval system for locating words in historical Mongolian document images. Based on the word spotting technology, a collection of historical Mongolian document images is converted into a collection of word images by word segmentation, and a number of profile-based features are extracted to represent word images. For each word image, a fixed-length feature vector is formulated by obtaining the appropriate number of the complex coefficients of discrete Fourier transform on each profile feature. The system supports online image-to-image matching by calculating similarities between a query word image and each word image in the collection, and consequently, a ranked result is returned in descending order of the similarities. Therein, the query word image can be generated by synthesizing a sequence of glyphs when being retrieved. By experimental evaluations, the performance of the system is confirmed. |
| Starting Page | 33 |
| Ending Page | 45 |
| Page Count | 13 |
| File Format | |
| ISSN | 14332833 |
| Journal | International Journal of Document Analysis and Recognition (IJDAR) |
| Volume Number | 17 |
| Issue Number | 1 |
| e-ISSN | 14332825 |
| Language | English |
| Publisher | Springer Berlin Heidelberg |
| Publisher Date | 2013-02-26 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Kanjur Word spotting Profile features Discrete Fourier transform Query image synthesis Image Processing and Computer Vision Pattern Recognition |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Science Applications Computer Vision and Pattern Recognition Software |
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