참고문헌
- S. Marinai, M. Gori, and G. Soda, Artificial neural networks for document analysis and recognition, IEEE Trans. Pattern Analysis and Machine Intelligence, vol.27, no.1, pp.23-35, 2005. https://doi.org/10.1109/TPAMI.2005.4
- Casey, G. Richard, and E. Lecolinet, A survey of methods and strategies in character segmentation, IEEE Trans. Pattern Analysis and Machine Intelligence, vol.18, no.7, pp.690-706, 1996. https://doi.org/10.1109/34.506792
- G. Vamvakas, B. Gatos, N. Stamatopoulos, and S.J. Perantonis, A complete optical character recognition methodology for historical documents, Proc. 8th International Workshop on Document Analysis Systems, pp.525-532, 2008.
- Y. Xia, B.-H. Xiao, C.-H. Wang, and R.-W. Dai, Integrated segmentation and recognition of mixed Chinese/English document, Proc. 9th International Conf. on Document Analysis and Recognition, vol.2, pp.704-708, 2007.
- S. Tangwongsan and C. Sumetphong, Optical character recognition techniques for restoration of Thai historical documents, Proc. International Conf. on Computer and Electrical Engineering, pp.531-535, 2008.
- H. Fujisawa, A view on the past and future of character and document recognition, Proc. 9th International Conf. on Document Analysis and Recognition, vol.1, pp.3-7, 2007.
- L. Peng, C. Liu, X. Ding, and H. Wang, Multilingual document recognition research and its application in China, Proc. 2th International Conf. on Document Image Analysis for Libraries, pp.7-132, 2006.
- S.-W. Lee, D.-J. Lee, and H.-S. Park, A new methodology for gray-scale character segmentation and recognition, IEEE Trans. Pattern Analysis and Machine Intelligence, vol.18, no.10, pp.1045-1050, 1996. https://doi.org/10.1109/34.541415
- J. Tse, D. Curtis, C. Jones, and E. Yfantis, An OCR-independent character segmentation using shortest-path in grayscale document images, Proc. 6th International Conf. on Machine Learning and Applications, pp.142-147, 2007.
- J. Song, Z. Li, M.R. Lyu, and S. Cai, Recognition of merged characters based on forepart prediction, necessity-sufficiency matching, and character-adaptive masking, IEEE Trans. Systems, Man, and Cybernetics, vol.35, no.1, pp.2-11, 2005. https://doi.org/10.1109/TSMCB.2004.837588
- J. Wang and J. Jean, Segmentation of merged characters by neural networks and shortest-path, Proc. ACM/SIGAPP symposium on applied computing, pp.762-769, 1993.
- J.-H. Bea, K.-C. Jung, J.-W. Kim, and H.-J. Kim, Segmentation of touching characters using an MLP, IEEE Trans. Pattern Recognition Letters, vol.19, pp.701-709, 1998. https://doi.org/10.1016/S0167-8655(98)00048-8
- N. Arica and F.T. Yarman-Vural, A new scheme for off-line handwritten connected digit recognition, Proc. 4th International Conference on Pattern Recognition, pp.1127-1129, 1998.
- W. Qi, X. Li, and B. Yang, A character segmentation method without character verification, Proc. International Symposium on Intelligent Information Technology Application Workshops, pp.581-584, 2008.
- J.-H. Si, F. Yang, and X.-D. Tian, A new algorithm of mixed Chinese-English character segmentation based on irregularty degree, Proc. International Conference on Machine Learning and Cybernetics, pp.2461-2465, 2008.
- A. Tonazzini and L. Bedini, Character segmentation in highly blurred ancient printed documents, Proc. International Conference on Image Analysis and Processing, pp.836-841, 1999.
- N. Otsu, A threshold selection method from gray-level histograms, Man and Cybernetics, vol.9, no.1, pp.62-66, 1979. https://doi.org/10.1109/TSMC.1979.4310076
- R. Neapolitan, K. Naimipour, Foundations of algorithms, Jones and Bartlett Pub, 2011
- D.-R. Lee, W.Y. Kim, and I.-S. Oh, Hangul document image retrieval system using rank-based recognition, International Conference on Document Analysis and Recognition, vol.2, pp.615-619, 2005.