A Robust Analytical Approach for Handwritten Word Recognition

This paper presents a system for handwritten word recognition based on an analytical approach. Through a fast segmentation procedure, basic strokes are detected and used to recognize the word by a bottom-up approach. The system has been tested on the worded amounts on bankchecks. The experimental results show the effectiveness of the approach.