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National School of Engineers of Sfax. REsearch Group on Intelligent Machines. Re search G roup on I ntelligent M achines. A neural network model for complex handwriting generation movements.
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National School of Engineers of Sfax REsearch Group on Intelligent Machines ResearchGrouponIntelligentMachines A neural network model for complexhandwritinggenerationmovements Production of handwriting requires a hierarchically organized flow of information undergoing a series of transformations. Mahmoud LtaiefIGS 2011 - Live Aqua Cancun, MEXICO On-line handwriting script Extraction of the curvilinear velocity signal V(t) Generation of the Beta profiles with the kinematic parameters (t0, tc, t1, p, q, H) for each stroke Extraction of the associated static parameters (a, b, X0, Y0, θ0) related to the elliptic shape
X(t) Nh Nn 1 2 3 4 . . . . . . . . . . Y(t) 5.3 4.4 10-1 5.5 10-2 1.2 10-3 5 2.2 10-2 5.6 10-3 4.3 10-4 1.7 10-5 10 . . . . . . . . . . Original letter Generated letter Neural network for handwriting generation Mean error table The structure (number of hidden layers Nh and number of neurons per hidden layer Nn) of the proposed neural network is defined after several simulation experiments studying the effect of various network parameters structure (Nh and Nn) on the training performance. The network was trained using the back propagation algorithm to produce the coordinates of the initial script. A timing network is also used to prepare the input data. Mahmoud Ltaief IGS 2011 - Live Aqua Cancun, MEXICO 2 Simulation results Hidden layers Output layer Input layer Parameters of Beta elliptic model Timing network