- Tytuł:
- Line segmentation of handwritten text using histograms and tensor voting
- Autorzy:
-
Babczyński, Tomasz
Ptak, Roman - Powiązania:
- https://bibliotekanauki.pl/articles/330796.pdf
- Data publikacji:
- 2020
- Wydawca:
- Uniwersytet Zielonogórski. Oficyna Wydawnicza
- Tematy:
-
document image processing
handwritten text
text line segmentation
projection profile
text string
offline cursive script recognition
ICDAR 2009 competition
przetwarzanie obrazu dokumentu
tekst odręczny
segmentacja linii tekstu
profil projekcyjny
ciąg tekstowy - Opis:
- There are a large number of historical documents in libraries and other archives throughout the world. Most of them are written by hand. In many cases they exist in only one specimen and are hard to reach. Digitization of such artifacts can make them available to the community. But even digitized, they remain unsearchable, and an important task is to draw the contents in the computer readable form. One of the first steps in this direction is to recognize where the lines of the text are. Computational intelligence algorithms can be used to solve this problem. In the present paper, two groups of algorithms, namely, projection-based and tensor voting-based, are compared. The performance is evaluated on a data set and with the procedure proposed by the organizers of the ICDAR 2009 competition.
- Źródło:
-
International Journal of Applied Mathematics and Computer Science; 2020, 30, 3; 585-596
1641-876X
2083-8492 - Pojawia się w:
- International Journal of Applied Mathematics and Computer Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł