Handwriting geometry recognition and calibration system by using neural network and mathematical feature
AssigneeSunia Pte. Ltd.
InventorsJianming Zhuang, Chung Kwong Chan
Life of this patent
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AssigneeSunia Pte. Ltd.
InventorsJianming Zhuang, Chung Kwong Chan
Estimating the term…
A handwriting geometry recognition and calibration system by using neural network and mathematical feature includes: a pre-processor for pre-processing coordinate points of geometric figures from user's handwriting so as to get a plurality of sample points which expresses the geometric figures to be recognized; a neural network connected to the pre-processor for receiving the sample points of the geometric figure and recognizing the geometric figure so as to acquire a coarse class of the geometric figure; and an mathematical logic unit connected to the neural network for receiving recognition results from the neural network, including coarse classifications which are used in a secondary classification by using conventional mathematical recognition logics so as to determine an exact geometry shape of the geometric figure; then the geometric figure being calibrated so as to get a geometry with a regular shape.
A handwriting geometry recognition and calibration system by using a neural network and mathematical feature, comprising:
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