An efficient post-processing approach for off-line handwritten Chinese address recognition
Publication
, Conference
Long, C; Zhu, X; Huang, K; Sun, J; Hotta, Y; Naoi, S
Published in: International Conference on Signal Processing Proceedings, ICSP
January 1, 2006
Language model is widely used in OCR post-processing. In this paper, based on language model, we propose a two-step method for post-processing of off-line handwritten Chinese address recognition. According to the characteristics of high level and low level addresses, two different strategies are used: for high level addresses, word-based language model is used with weighed matching search algorithm proposed; for low level addresses, ME model is implemented with similar character method. After post-processing, recognition accuracy rises from 41.60% to 78.19%, which means 62.65% errors reduction. © 2006 IEEE.
Duke Scholars
Published In
International Conference on Signal Processing Proceedings, ICSP
DOI
ISBN
9780780397378
Publication Date
January 1, 2006
Volume
2
Citation
APA
Chicago
ICMJE
MLA
NLM
Long, C., Zhu, X., Huang, K., Sun, J., Hotta, Y., & Naoi, S. (2006). An efficient post-processing approach for off-line handwritten Chinese address recognition. In International Conference on Signal Processing Proceedings, ICSP (Vol. 2). https://doi.org/10.1109/ICOSP.2006.345728
Long, C., X. Zhu, K. Huang, J. Sun, Y. Hotta, and S. Naoi. “An efficient post-processing approach for off-line handwritten Chinese address recognition.” In International Conference on Signal Processing Proceedings, ICSP, Vol. 2, 2006. https://doi.org/10.1109/ICOSP.2006.345728.
Long C, Zhu X, Huang K, Sun J, Hotta Y, Naoi S. An efficient post-processing approach for off-line handwritten Chinese address recognition. In: International Conference on Signal Processing Proceedings, ICSP. 2006.
Long, C., et al. “An efficient post-processing approach for off-line handwritten Chinese address recognition.” International Conference on Signal Processing Proceedings, ICSP, vol. 2, 2006. Scopus, doi:10.1109/ICOSP.2006.345728.
Long C, Zhu X, Huang K, Sun J, Hotta Y, Naoi S. An efficient post-processing approach for off-line handwritten Chinese address recognition. International Conference on Signal Processing Proceedings, ICSP. 2006.
Published In
International Conference on Signal Processing Proceedings, ICSP
DOI
ISBN
9780780397378
Publication Date
January 1, 2006
Volume
2