Abstract
In this paper, the part-based recognition method is introduced and applied to the arbitrary font recognition. The principle of the part-based method is to represent the character image as a set of parts and then recognize the image by finding the most possible parts set from the reference database. Since the part-based method does not rely on the global structure of a character, it is supposed to be robust against the variant appearances of the character. The experiment results indicate that it is possible to apply the part-based method to the font recognition, which is always considered as a difficult task by most of the researchers.
Original language | English |
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Article number | 6628606 |
Pages (from-to) | 170-174 |
Number of pages | 5 |
Journal | Proceedings of the International Conference on Document Analysis and Recognition, ICDAR |
DOIs | |
Publication status | Published - 2013 |
Event | 12th International Conference on Document Analysis and Recognition, ICDAR 2013 - Washington, DC, United States Duration: Aug 25 2013 → Aug 28 2013 |
All Science Journal Classification (ASJC) codes
- Computer Vision and Pattern Recognition