Deskewing Algorithm for Unconstrained Handwritten Kannada Documents Leading to Line and Word Segmentation

@inproceedings{Angadi2016DeskewingAF,
  title={Deskewing Algorithm for Unconstrained Handwritten Kannada Documents Leading to Line and Word Segmentation},
  author={Shanmukhappa A. Angadi and Sharanabasavaraj. H. Angadi},
  year={2016}
}
34 Abstract— Extraction of lines and words from handwritten document images containing skewed text is one of th e most difficult and challenging problem. In this paper, a new deskewing algorithm leading to line and word segmen tation from an unconstrained hand written Kannada document s is proposed. The method employs preprocessing, dilation and labelling the connected components of input image a s initial step. Then an intelligent technique is used to grou p the words belonging to a text line… CONTINUE READING