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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xue-dong Tian Juan Huang Fang Yang Yan Ha |
| Copyright Year | 2011 |
| Description | Author affiliation: College of Mathematics and Computer Science, Hebei University, Baoding, China (Xue-dong Tian; Juan Huang; Fang Yang; Yan Ha) |
| Abstract | Ancient Chinese characters normally have complex structures which are composed of many strokes. Different characters may show a similar shape which results in unsatisfactory answers for their image retrieving using the traditional methods. In this paper, an image retrieval algorithm for ancient Chinese characters is proposed based on the local area of characters. First of all, according to the need of users, the regions needed to be matched are marked on the sample of ancient Chinese character image. Then we match the image by comparing the Euclidean distance of feature parameters between sample image and database images. Finally, the ancient images which users need are found. The experimental results show that the proposed method could improve the efficiency of correlative research. |
| Starting Page | 2528 |
| Ending Page | 2531 |
| File Size | 301238 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781457717000 |
| e-ISBN | 9781457717017 |
| DOI | 10.1109/TMEE.2011.6199736 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-12-16 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Accuracy Shape Local area Image retrieval Euclidean distance Stroke density features Feature extraction Educational institutions Ancient Chinese characters |
| Content Type | Text |
| Resource Type | Article |
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