Cursive word recognition based on interactive activation and early visual processing models |
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Authors: | Ruiz-Pinales Jose Jaime-Rivas Rene Lecolinet Eric Castro-Bleda Maria Jose |
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Institution: | Communications and Electronics, Universidad de Guanajuato, Salamanca, Gto., Mexico. pinales@salamanca.ugto.mx |
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Abstract: | We present an off-line cursive word recognition system based completely on neural networks: reading models and models of early visual processing. The first stage (normalization) preprocesses the input image in order to reduce letter position uncertainty; the second stage (feature extraction) is based on the feedforward model of orientation selectivity; the third stage (letter pre-recognition) is based on a convolutional neural network, and the last stage (word recognition) is based on the interactive activation model. |
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