참고문헌
- Nagy, G., Twenty years of document image analysis in PAMI, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, no.1, pp.38-62, 2000. https://doi.org/10.1109/34.824820
- N. S. Sarhan and L. Al-Zobaidy, Recognition of Printed Assyrian Character Based on Neocognitron Artificial Neural Network, The International Arab Journal of Information Technology, vol4, no.1, 2007.
- H. Guo and J. Zhao, A Chinese Minority Script Recognition Method Based on Wavelet Feature and Modified KNN, Journal of Software, vol.5, no.2, 2010.
- Sachin Rawat, A Semi-automatic Adaptive OCR for Digital Libraries, Centre for Visual Information Technology, 2006.
- M. Meshesha and C. V. Jawahar, Optical Character Recognition of Amharic Documents, Center for Visual Information Technology, 2007.
- Tapas Kanungo, Robert M. Haralick, Henry S. Baird, Werner Stuezle and David Madigan, A Statistical, Nonparametric Methodology for Document Degradation Model Validation, IEEE Transaction on Pattern Analysis and Machine Intelligence 22, 2000.
- T. Kanungo and R. M. Haralick, An automatic closedloop methodology for generating character groundtruth for scanned documents, IEEE Trans. Pattern Anal. Mach. Intell., pp.179-183, 1999.
- D.-W. Kim and T. Kanungo, Attributed point matching for automatic ground truth generation, Int. Journal on Document Analysis and Recognition, pp.47-66, 2002.
- H. S. Baird, The state of the art of document image degradation modeling, IAPR Workshop on Document Analysis Systems, 2000.
- J. van Beusekom, F. Shafait, and T. M. Breuel, Automated OCR Ground Truth Generation, In 8th IAPR Workshop on Document Analysis Systems, pp.111-117, 2008.
- H. S. Baird, Document image defect models. In Document image analysis, pp.315-325, 1995.
- H. S. Baird, Calibration of Document Image Defect Models, 2nd UNLV Symp. on Document Analysis & Information Retrieval, pp.26-28, 1993.
- T. Kanungo, Global and Local Document Degradation Models, Document Analysis and Recognition, pp.730-734, 1993.
- T. Kanungo, Document Degradation Models and Methodology for Degradation Model Validation, Ph.D. Dissertation, 1996.
- M. Zimmermann and H. Bunke. Automatic segmentation of the IAM off-line database or handwritten english text. Proc Int. Conf. on Pattern Recognition, 2002.
- S. Jaeger, S. Manke, J. Reichert, and A. Waibel. Online handwriting recognition: the npen++ recognizer. Int. Journal on Document Analysis and Recognition, pp.1433-2833, 2001.
- P. V. C. Hough, Method and means for recognizing complex patterns, U.S. Patent 3069654, 1962.
- R. O. Duda and P. E. Hart, Use of The Hough Transform to Detect Lines and Curves in Pictures, Commun. ACM, vol.15, no.1, pp.11-15, 1972. https://doi.org/10.1145/361237.361242
- Seung Ick Jang and Youn Seok Nam, A Method of Machine-Printed Hangul Recognition using Grapheme Recognizer, Proc. of Korea Information Processing Society Spring Conference, vol.11, no.1, pp.351 - 354, 2004.
- L. Bergroth, A Survey of Longest Common Subsequence Algorithms, Seventh International Symposium on String Processing and Information Retrieval, 2000.
- V. I. Levenshtein, Binary codes capable of correcting deletions, insertions, and reversals, Cybemetics and Control Theory, vol.10, no.8, pp.707-710, 1966.