Citation
Connell, Scott D., and Anil K. Jain. "Template-based online character recognition." Pattern Recognition 34.1 (2001): 1-14.
Summary
The paper presents and demonstrates a template-based system for online character recognition where the number of representative templates is determined automatically. These templates can be viewed as representing different styles of writing a particular character. These templates are then used to classify the character particularly using decision trees. Overall the system produced accuracy of 86.9% on a dataset of around 18000 characters which included the 26 lower case characters, 10 numerical digits.
Discussion
The input data was resampled to produce a points which were equidistant in space rather than in time. Then Gaussian filtering was also applied on both x and y coordinates. The paper discussed two different methods for classification, the first being nearest neighbor classification and the other being decision tree based classification. The paper uses a custom distance metric to compute the distance between an input sketch and a set of template sketches.
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