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Dynamic Hand Written Character Recognition

Dynamic Hand Written Character Recognition. Shi-Ting Zhou. Project Goal. Devise a new approach in recognizing hand written characters without training process in respective classical neural network approaches. Validate the proposed technique by testing on hand written digits. Motivation.

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Dynamic Hand Written Character Recognition

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  1. Dynamic Hand Written Character Recognition Shi-Ting Zhou

  2. Project Goal • Devise a new approach in recognizing hand written characters without training process in respective classical neural network approaches. • Validate the proposed technique by testing on hand written digits

  3. Motivation • Classical ANN does not possess the merits of biological neural systems • Real biological neural systems are dynamical • Classical ANN approaches ignore 2-D information of inputs

  4. Methodology • Devise a simulator capable of simulating the dynamics of elastic body in attracting force field • Build templates of written digits • Test on the MNIST DATABASEof handwritten digits (“http://yann.lecun.com/exdb/mnist/”)

  5. Neural Network? • Can be implemented in the form of recurrent neural network.

  6. Discussion • Potential usage on other type of recognition task • Can have a 3-D version. 1-D lines become 2-D manifolds • Problem: Computationally intensive if have a lot of templates • Solution: Targeting at smaller and repeating features instead of entire symbol

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