A morphological segmentation and curve-let features extraction on text region classification using SVM

Text Extraction from different background is always a challenging problem in these emerging field of research area of image processing. In our project we have implemented upon Noise Removal segmentation, Curve-let Transformation features and Support Vector Machine classifier. In that we calculated on successful result purpose on still images and some real time images for different background location image on features extraction and classified techniques. Previously, Different methodologies have been used for texture feature extraction. The method which we proposed gives a better accuracy and efficiency towards extract texture feature analysis as with wavelet transform. Curve-let, Gradient Edge Operator on Support Vector Machine Classifier analysis and performance measure is completely new in this paper.