Writer adaptation or specialization is the adjustment of handwriting recognition algorithms to a specific writer’s style of handwriting. Such adjustment yields significantly improved recognition rates over counterpart general recognition algorithms. We present a discussion of a method of prototype integration for writer adaptation and evaluate the results on English and Arabic datasets. The wri...

In this paper we present NPen ++, a connectionist system for writer independent, large vocabulary on-line cursive handwriting recognition. This system combines a robust input representation, which preserves the dynamic writing information, with a neural network architecture, a so called Multi-State Time Delay Neural Network (MS-TDNN), which integrates rec.ognition and segmentation in a single f...