Handwritten character segmentation using transformation-based learning
Ergina Kavallieratou, Efstathios Stamatatos, Nikos Fakotakis, G. Kokkinakis · 2002
Presents a character segmentation algorithm for unconstrained cursive handwritten text. The transformation-based learning method and a simplified variation of it are used in order to extract automatically rules that detect the segment boundaries. Comparative experimental results are given for a collection of multiwriter handwritten words. The achieved accuracy in detecting segment boundaries exceeds 82%. Moreover limited training data can provide very satisfactory results.