Abstract
We propose a new method for handwriting recognition that utilizes geometric features of letters. The paper deals with recognition of isolated handwritten characters using an artificial neural network. The characters are written on a regular sheet of paper using a pen, and then they are captured optically by a scanner and processed to a binary image which is analyzed by a computer. In this paper we present a new method for off-line handwriting recognition and also describe our research and tests performed on the neural network.
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Kacalak, W., Stuart, K.D., Majewski, M. (2007). Selected Problems of Intelligent Handwriting Recognition. In: Melin, P., Castillo, O., Ramírez, E.G., Kacprzyk, J., Pedrycz, W. (eds) Analysis and Design of Intelligent Systems using Soft Computing Techniques. Advances in Soft Computing, vol 41. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72432-2_30
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DOI: https://doi.org/10.1007/978-3-540-72432-2_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72431-5
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