Semi-automatic training sets acquisition for handwriting recognition
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Similarity-based training set acquisition for continuous handwriting recognition
Information Sciences: an International Journal
Hi-index | 0.00 |
A new approach to the segmentation of handwritten text is presented that is based on approximating a binary raster image with a set of polygons and building a continuous skeleton of those polygons. Polygons and skeletons are then used in extraction of lines, removingof spots and artifacts, extraction of words from lines and extraction of strokes from words.