|
| | | | |
| | | |
| Stat |
Members: 3645
Articles: 2'504'928
Articles rated: 2609
25 April 2024 |
|
| | | | |
|
Article overview
| |
|
|
Reading Ancient Coin Legends: Object Recognition vs. OCR | | Albert Kavelar
; Sebastian Zambanini
; Martin Kampel
; | | Date: |
Fri, 26 Apr 2013 14:33:52 GMT (1877kb,D) | | Abstract: | Standard OCR is a well-researched topic of computer vision and can be
considered solved for machine-printed text. However, when applied to
unconstrained images, the recognition rates drop drastically. Therefore, the
employment of object recognition-based techniques has become state of the art
in scene text recognition applications. This paper presents a scene text
recognition method tailored to ancient coin legends and compares the results
achieved in character and word recognition experiments to a standard OCR
engine. The conducted experiments show that the proposed method outperforms the
standard OCR engine on a set of 180 cropped coin legend words. | | Source: | arXiv, 1304.7184 | | Services: | Forum | Review | PDF | Favorites | |
|
|
No review found.
Did you like this article?
Note: answers to reviews or questions about the article must be posted in the forum section.
Authors are not allowed to review their own article. They can use the forum section.
browser Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)
|
| |
|
|
|
|
News, job offers and information for researchers and scientists:
| |
REGISTER