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.
|Number of pages||5|
|Journal||Proceedings of the International Conference on Document Analysis and Recognition, ICDAR|
|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