DocumentCode
2727378
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
fYear
2009
fDate
4-6 Feb. 2009
Firstpage
395
Lastpage
397
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Advances in Pattern Recognition, 2009. ICAPR '09. Seventh International Conference on
Conference_Location
Kolkata
Print_ISBN
978-1-4244-3335-3
Type
conf
DOI
10.1109/ICAPR.2009.94
Filename
4782817
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