Abstract
The system for handwritten symbol and signature recognition with the use of shape descriptors in orthogonal basis of Hadamard transform as informative features is presented. For a construction of the classifier discriminant methods have been used that have supplied acceptable separation between classes. To raise processing speed a part of algorithmic scheme was implemented by hardware facilities. There was used specialized integer-valued co-processor implemented as PCI bus extension board based on FPGA. Proposed hardware/software architecture resulted in computational acceleration factor of 10 with recognition rates averaged about 97-99% in the task of handwritten symbol processing.
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Sadykhov, R.K., Podenok, L.P., Samokhval, V.A., Uvarov, A.A. (2004). The System for Handwritten Symbol and Signature Recognition Using FPGA Computing. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2004. Lecture Notes in Computer Science, vol 3211. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30125-7_56
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DOI: https://doi.org/10.1007/978-3-540-30125-7_56
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