참고문헌
- S. W. Lee, "Off-line recognition of totally unconstrained handwritten numerals using multilayer cluster neural network," IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol.18, No. 6, pp.648-652, 1996. https://doi.org/10.1109/34.506416
- J. T. Favata and G. Srikantan, "A multiple feature/resolution approach to handprinted digit and character recognition," International Journal of Imaging Systems and Technology, Vol.7, pp.304-311, 1996. https://doi.org/10.1002/(SICI)1098-1098(199624)7:4<304::AID-IMA5>3.0.CO;2-C
- C. L. Liu, K. Nakashima, H. Sako and H. Fujisawa, "Handwritten digit recognition: benchmarking of state-of-the-art techniques," Pattern Recognition, Vol.36, pp.2271-2285, 2003. https://doi.org/10.1016/S0031-3203(03)00085-2
- M. Shi, Y. Fujisawa, T. Wakabayashi and F. Kimura, "Handwritten numeral recognition using gradient and curvature of gray scale image," Pattern Recognition, Vol.35, pp.2051-2059, 2002. https://doi.org/10.1016/S0031-3203(01)00203-5
- C. L. Liu, K. Nakashima, H. Sako and H. Fujisawa, "Handwritten digit recognition: investigation of normalization and feature extraction techniques," Pattern Recognition, Vol.37, pp.265-279, 2004. https://doi.org/10.1016/S0031-3203(03)00224-3
- 박중조, 정순원, 박영환, 김경민, "Projection Runlength를 이용한 필기체 숫자의 특징추출", 제어로봇시스템학회 논문지, 제 14권, 제 8호, pp.818-823, 2008.
- D. Gorgevik, D. Cakmakov, "Handwritten digit recognition by combining SVM classifiers," Proceedings of EUROCON 2005, pp.1393-1396, Serbia & Montenegro, Belgrade, November 22-24, 2005.
- Chun Lei He, Error analysis of a hybrid multiple classifier system for recognizing unconstrained handwritten numerals, A Master Thesis in the department of Computer Science & Software Engineering, Concordia University, May. 2005.
- 박중조, 김경민,, "SVM 분류기를 이용한 필기체 숫자인식", 한국신호처리시스템학회 논문지, 제 8권, 제 3호, pp.136-142, 2007.
- L. Lam and C. Y. Suen, "Structural classification and relaxation matching of totally unconstrained handwritten zip code numbers," Pattern Recognition, Vol. 21, No. 1, pp. 19-31, 1988. https://doi.org/10.1016/0031-3203(88)90068-4
- G. L. Martin and J. A. Pittman, "Recognizing hand-printed letters and digits using backpropagation learning," Neural Computation, Vol. 3, pp.258-267, 1991. https://doi.org/10.1162/neco.1991.3.2.258
- K. M. Mohiuddin and J. Mao, "A comparative study of different classifiers for handprinted character recognition," Pattern Recognition in practice IV, pp. 437-448, 1994.
- S. Knerr and L. Personnaz and G. Dreyfus, "Handwritten digit recognition by neural networks with single-layer training," IEEE Trans. Neural Networks, Vol. 3, No. 6, pp. 962-968, 1992. https://doi.org/10.1109/72.165597
- B. Boser, I. Guyon, V. Vapnik, "A training algorithm for optimal margin classifiers," Proceedings of the fifth annual workshop on Computational learning theory, pp. 144-152, 1992.
- C. Cortes, V. Vapnik, "Support vector networks," Machine learning, v.20, pp.273-297, 1995.
- H. Guo and H. Zhang, "Chinese classifier assignment using SVMs," Fourth SIGHAN Workshop on Chinese Language Processing, pp.25-31, 2005.
- J. X. Dong, C. Y. Suen and A. Krzyzak "A fast SVM training algorithm," International Journal of Pattern recognition and Artificial Intelligence, vol. 17, no. 3, pp. 367-384, 2003. https://doi.org/10.1142/S0218001403002423
피인용 문헌
- A Study on a Fault Detection and Isolation Method of Nonlinear Systems using SVM and Neural Network vol.18, pp.6, 2012, https://doi.org/10.5302/J.ICROS.2012.18.6.540
- An online identity authentication method for blood smear vol.9, pp.6, 2010, https://doi.org/10.1142/s179354581550039x