Character Recognition by Minoru Mori (Editor)

By Minoru Mori (Editor)

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F. Discourse – This deals with the study of deriving meaning from the connections of multiple sentences. g. Pragmatic – This is a study which deals with how context contributes to meaning in a language. , morphemes, words and sentences. Some of the major applications of NLP are information retrieval, information extraction, question-answering, summarization and machine translation and dialogue systems. The word level error correction capability of NLP is a powerful tool to improve the accuracy of text extraction compared to a standalone OCR.

They have considered diagonal edges to handle the Asian Languages like Chinese, Japanese which are not taken care in other papers. They have also used Foreground (FG) background (BG) integrated video text segmentation method to make it robust even in case of complex BG. (Zhong et. , 2000) also used horizontal and vertical energy computed from the DCT coefficients of MPEG stream for TIE. They have used Morphological operations in post processing. , 2009) used DCT texture followed by a 3x3 median filter in spatial domain for TIE.

2005; 2010). Our method estimates the degree of deformation and degradation of the input pattern on the basis of specific information of each category. Exploiting the category information enables us to extract the variation of the aspect ratio and that of the run-length used for computing feature values. The fluctuations in shape and feature values are then offset by the estimated compensation coefficients. To evaluate the proposed method, we apply it to the recognition of video text that is degraded by background noise and blur, and deformed by aspect ratio fluctuations.

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