Comments:
Drew
Summary:
In this paper the author proposed an algorithm to ditinguish text. The features extracted are gaps between strokes time data, their relation to each other and some characteristic features for classification. Then they use a HMM for recognition.
Discussion:
To ditinguish shape from text is a hard problem. I think the author has made the problem even harder by using HMM. However, I have found limitation since HMM asks for a fixed order, which means users have to draw in the same order.
Wow, you know HMM, next time we shall we lunch to talk about this.
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