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By Minoru Mori (Editor)
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Additional resources for Character Recognition
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4, July 2000 X. Qian, G. Liu. (2006). Text Detection, Localization and Segmentation in Compressed Videos, ICASSP, pp 385-388, 2006 Y. Zhong; H. J. K. Jain. (1999). 96-100, 1999 Y. Su, Z. Ji, X. Song, R. Hua. (2008). 711-714, 10-12 Nov. 2008 Y. Su, Z. Ji, X. Song, R. Hua. (2008). Caption Text Location with Combined Features for News Videos, Proceedings of International Workshop on Geoscience and Remote Sensing and Education Technology and Training, pp. 714-718, 21-22 Dec. -K. -H. -W. Lee. (2000).
The word level error correction capability of NLP is a powerful tool to improve the accuracy of text extraction compared to a standalone OCR. This can be used to correct articles, prepositions and verbs. , 2000) proposed OCR error correction in morphologically rich Indian language, where they have shown 84% word correction for a single character error. , 2007) presented a work on detecting errors in preposition for non-native English speakers. They have proposed maximum entropy (ME) model to estimate the probability of prepositions in their local context to detect the errors due to “incorrect selection”.