Segmentation approach for offline handwritten Kannada scripts

India has more than 1,600 official languages, making it a multilingual country. Kannada, one of the major originated in state Karnataka and is currently ranked 33rd among accents that are most often spoken throughout world. However, survey shows much effort needed to create complete handwritten identification system. Segmentation crucial steps handwriting system extracts significant objects from an image. The feature extraction classification phases text recognition will be successful if segmentation approaches selected efficient. In proposed system, was accomplished using bounding box contour tracing methods. result got delivered next step An average accuracy 92.6% worked out for line word segmentation.