ONLINE CURSIVE SCRIPT RECOGNITION - A USER-ADAPTIVE SYSTEM FOR WORD IDENTIFICATION

We present the last Version of our system Adresy dedicated to the reco gnition of words written on a digitizing tablet. Adresy is designed to be used with a big (given) vocabulary. In this context, it achieves a very good performance because it is able to learn automatically the w riting style of any specific user, directly from a set of a few sample s of words. Moreover, Adresy improves continuously its performance in a user-transparent way, thanks to a second, faster, learning process c alled adaptation. This paper describes the main aspects of Adresy. Mor eover, the power of our system is proven through four experiments perf ormed on a database of ten thousand handwritten words. Copyright (C) 1 996 Pattern Recognition Society.