TY - GEN
T1 - Character stroke extraction based on B-spline curve matching by constrained alternating optimization
AU - Liu, Xiabi
AU - Jia, Yunde
PY - 2007
Y1 - 2007
N2 - This paper proposes a character stroke extraction method for handwriting recognition based on B-spline curve matching. In our method, a character is modeled as a set of B-splines, each of which represents a character stroke. Stroke extraction is accomplished through matching candidate strokes in the skeleton of the input character image with B-splines in the character model. We discussed the character structure modeling, the principal curve based image skeletonization, and the constrained alternating optimization algorithm for affine-invariant B-spline curve matching. With the use of the proposed stroke extraction method, different types of characters can be reliably processed in a common way. The experimental results on data of handwritten numerals, handwritten English letters, and handwritten Chinese characters show the effectiveness of the proposed method.
AB - This paper proposes a character stroke extraction method for handwriting recognition based on B-spline curve matching. In our method, a character is modeled as a set of B-splines, each of which represents a character stroke. Stroke extraction is accomplished through matching candidate strokes in the skeleton of the input character image with B-splines in the character model. We discussed the character structure modeling, the principal curve based image skeletonization, and the constrained alternating optimization algorithm for affine-invariant B-spline curve matching. With the use of the proposed stroke extraction method, different types of characters can be reliably processed in a common way. The experimental results on data of handwritten numerals, handwritten English letters, and handwritten Chinese characters show the effectiveness of the proposed method.
UR - http://www.scopus.com/inward/record.url?scp=51149098123&partnerID=8YFLogxK
U2 - 10.1109/ICDAR.2007.4378667
DO - 10.1109/ICDAR.2007.4378667
M3 - Conference contribution
AN - SCOPUS:51149098123
SN - 0769528228
SN - 9780769528229
T3 - Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
SP - 13
EP - 17
BT - Proceedings - 9th International Conference on Document Analysis and Recognition, ICDAR 2007
T2 - 9th International Conference on Document Analysis and Recognition, ICDAR 2007
Y2 - 23 September 2007 through 26 September 2007
ER -