08-04-2016, 10:42 PM
The project work realizes an efficent text segmentation algorithm and character recognition for the isolated text data in a documented video image sequence. The text isolation system implements three wavelet transformations namely Harr, Debuchie and spline wavelet and analyzes the effect of these wavelet transformation on text isolation process for a given video sequence. The system also analyze the effect of level decomposition on a documented video image sequence. The obtained results shows good isolation of text data form the image sequance for biorthogonal spline wavelet and shows better result at fourth level of decomposition. From the multi level and mult wavlet analysis the best suited wavelet transform and the best level of decomposition is obtained which is used under text isolation and its recogintion. The spline wavelet transformation gives mopre accuracy to isolation of text data compared to haar and debuchie wavlet transform at higher level of decomposition. The implemented design also realizes the character recognition unit using supervised learning prcoess. It is observed that the system recognizes theisolated text data form the video sequence to high
:(The project work realizes an efficent text segmentation algorithm and character recognition for the isolated text data in a documented video image sequence. The text isolation system implements three wavelet transformations namely Harr, Debuchie and spline wavelet and analyzes the effect of these wavelet transformation on text isolation process for a given video sequence. The system also analyze the effect of level decomposition on a documented video image sequence. The obtained results shows good isolation of text data form the image sequance for biorthogonal spline wavelet and shows better result at fourth level of decomposition. From the multi level and mult wavlet analysis the best suited wavelet transform and the best level of decomposition is obtained which is used under text isolation and its recogintion. The spline wavelet transformation gives mopre accuracy to isolation of text data compared to haar and debuchie wavlet transform at higher level of decomposition. The implemented design also realizes the character recognition unit using supervised learning prcoess. It is observed that the system recognizes theisolated text data form the video sequence to high