Title :
Online Character Recognition Using Elastic Curvature Matching
Author :
Ahn, Jong-Hoon ; Lee, Jihyun ; Jo, Jinsu ; Choi, Yongha ; Lee, Yillbyung
Author_Institution :
Dept. of Comput. Sci., Yonsei Univ., Seoul
Abstract :
An efficient method for online character recognition is suggested. It consists of two steps: curvature extraction and curvature matching. The online signal with a single stroke is a sequence of two-dimensional positional vectors whereas its curvature is one-dimensional. Elastic curvature matching is basically a 1D-to-1D matching problem between curvatures of reference and test characters, and one-dimensionality of curvature makes the matching problem more quick and easy than 2D-to-2D matching. We show the results obtained from applying it to online digit recognition and discuss them.
Keywords :
character recognition; feature extraction; image matching; 1D-to-1D matching problem; curvature extraction; elastic curvature matching; online character recognition; online digit recognition; Character recognition; Computer science; Constraint optimization; Dynamic programming; Heuristic algorithms; Pattern matching; Pattern recognition; Robustness; Shape; Testing;
Conference_Titel :
Advances in Pattern Recognition, 2009. ICAPR '09. Seventh International Conference on
Conference_Location :
Kolkata
Print_ISBN :
978-1-4244-3335-3
DOI :
10.1109/ICAPR.2009.94
