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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References
Kussul, E., Baidyk, T.: Improved Method of Handwritten digit recognition. In: Proceedings of the 15-th International Conference on Vision Interface, Canada, Calgary, pp. 192–197 (2002)
Akiyama, T., Nagita, N.: Automated entry system for printed documents. Pattern Recognition 23(11), 1130–1141 (1990)
Yousefi, H.A., Udupa, S.S.: Recognition of Arabic Characters. IEEE Transactions on Pattern Analysis and Machine Intelligence 14(8), 853–860 (1992)
Aguado, A.: Parametrizing arbitrary shapes via Fourier descriptors for evidencegathering extraction. Computer Vision and Image Understanding 69(2), 202–219 (1998)
Mukundan, R.: Fast Computation of Legendre and Zernike moments. Pattern Recognition 28(9), 1433–1442 (1995)
Wallin, A.: Complete sets of a complex Zernike moments invariants and the role of the pseudoinvariants. IEEE Transactions on Pattern Analysis and Machine Intelligence 17(11), 1106–1114 (1995)
Parker, J.R.: Simple Distances between handwritten signature. In: Procedings of the 15-th International Conference on Vision Interface, Canada, Calgary, pp. 218–222 (2002)
Ahmed, N., Rao, K.: Orthogonal Transforms for Digital Image Processing. Springer, Hedelberg (1975)
Casasent, D.: Unified synthetic discriminant function computational formulation. Appl. Opt. 23, 1620–1627 (1984)
Samokhval, V.A., Sadykhov, R.H.: The Use of Connectivity Spectrum for Signature Verification. In: Proceedings of the 3-d International Conference “Pattern Recognition and Image Analysis”, Minsk, 3, (1995) 43-46.
Barrett, P.: Implementing the Rivest, Shamir and Adleman public-key encryption algorithm on a standard digital signal processor. In: Odlyzko, A.M. (ed.) CRYPTO 1986. LNCS, vol. 263, pp. 311–323. Springer, Heidelberg (1987)
Hitz, M.A., Kaltofen, E.: Integer Division in Residue Number Systems. IEEE Trans. on Computers 44(8), 983–989 (1995)
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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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