DocumentCode :
431552
Title :
A New Segmentation Technique for Multi Font Farsi/Arabic Texts
Author :
Omidyeganeh, M. ; Nayebi, K. ; Azmi, R. ; Javadtalab, A.
Author_Institution :
Dept. of Electr. Eng., Sharif Univ. of Technol., Tehran, Iran
Volume :
2
fYear :
2005
fDate :
March 18-23, 2005
Firstpage :
757
Lastpage :
760
Keywords :
adaptive signal processing; character sets; image segmentation; optical character recognition; character curvature; character recognition; multifont Farsi/Arabic texts; segmentation; subword adaptive base line; up/down contour conditional labeling; Character recognition; Image processing; Image segmentation; Java; Labeling; Man machine systems; Optical character recognition software; Shape; Testing; Text recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-8874-7
Type :
conf
DOI :
10.1109/ICASSP.2005.1415515
Filename :
1415515
Link To Document :
https://search.ricest.ac.ir/dl/search/defaultta.aspx?DTC=49&DC=431552
بازگشت