Title :
Study on video text processing
Author :
Zhao, Tianxue ; Sun, Guangmin ; Zhang, Cheng ; Chen, Deming
Author_Institution :
Dept. of Electron. Eng., Beijing Univ. of Technol., Beijing
fDate :
June 30 2008-July 2 2008
Abstract :
This paper adopts combination of DWT and neural network methods to locate the text region. After analyzing the characteristic of video text, the feature of kurtosis is first used in the field of text extraction, which improves the locating accuracy considerably. The OCR accuracy is also improved by using the Shannon interpolation method and Niblack adaptive thresholding method to enhance the video text extracted. Experiments show the methods mentioned above improve the locating accuracy to about 90.4% and the OCR accuracy to about 85.1%.
Keywords :
discrete wavelet transforms; interpolation; neural nets; optical character recognition; text analysis; video signal processing; DWT; Niblack adaptive thresholding method; OCR; Shannon interpolation; kurtosis; neural network method; text extraction; video text processing; Content based retrieval; Data mining; Discrete wavelet transforms; Feature extraction; Frequency; Image processing; Interpolation; Neural networks; Optical character recognition software; Text processing; DWT; RBF; Shannon interpolation; improved Niblack adaptive thresholding; kurtosis;
Conference_Titel :
Industrial Electronics, 2008. ISIE 2008. IEEE International Symposium on
Conference_Location :
Cambridge
Print_ISBN :
978-1-4244-1665-3
Electronic_ISBN :
978-1-4244-1666-0
DOI :
10.1109/ISIE.2008.4677025
