Elastic Matching Algorithms for Online Tamil Character Recognition

We present a comparison of elastic matching schemes for writer dependent on-line handwriting recognition of isolated Tamil characters. Three different features are considered namely, preprocessed x-y co-ordinates, quantized slope values, and dominant point co-ordinates. Seven schemes based on these three features are compared using an elastic distance measure. The comparison is carried out in terms of recognition accuracy, recognition speed, and number of training templates. In this paper, we present the results obtained using these schemes along with some possible grouping strategies. Error analysis is also presented in brief.