TY - CHAP
T1 - An automatic outline fitting algorithm for Arabic characters
AU - Sarfraz, M.
AU - Khan, M. A.
PY - 2003
Y1 - 2003
N2 - In this paper, an efficient algorithm for automatic outline capture of digital character images is presented. This method is well suited for non-Roman languages like Arabic, Urdu, Persian, etc. Contemporary word processing systems store shapes of the characters in terms of their outlines, and outlines are expressed as cubic Bezier curves. The process of capturing outlines includes steps detection of boundary, discorvering Corner Points and Break Points and fitting the curve. The work done in this paper, fully automate the above process and produces optimal results.
AB - In this paper, an efficient algorithm for automatic outline capture of digital character images is presented. This method is well suited for non-Roman languages like Arabic, Urdu, Persian, etc. Contemporary word processing systems store shapes of the characters in terms of their outlines, and outlines are expressed as cubic Bezier curves. The process of capturing outlines includes steps detection of boundary, discorvering Corner Points and Break Points and fitting the curve. The work done in this paper, fully automate the above process and produces optimal results.
UR - http://www.scopus.com/inward/record.url?scp=21144440122&partnerID=8YFLogxK
U2 - 10.1007/3-540-44842-x_60
DO - 10.1007/3-540-44842-x_60
M3 - Chapter
AN - SCOPUS:21144440122
SN - 3540401563
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 589
EP - 598
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
A2 - Kumar, Vipin
A2 - Gavrilova, Marina L.
A2 - Kenneth Tan, Chih Jeng
A2 - L’Ecuyer, Pierre
A2 - Kenneth Tan, Chih Jeng
PB - Springer Verlag
ER -